Summary:

Vaxcyte is seeking an Associate Scientist II (Contract), Conjugation Development, who will contribute to the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on the synthesis, purification, and analytical characterization of chemically modified polysaccharides and polysaccharide-protein conjugates. The successful candidate will apply a strong foundation in analytical chemistry and laboratory techniques to optimize and troubleshoot processes, while also supporting related areas such as analytical development and stability studies. This position requires strong organizational skills, clear communication, and the ability to work in a fast-paced, cross-functional environment.

Essential Functions:

• Perform and optimize multi-step syntheses of protein-polysaccharide conjugates.
• Purify polysaccharides and conjugates using methods including dialysis, size-exclusion chromatography, and tangential flow filtration (TFF).
• Analyze polysaccharides and conjugates using methods such as colorimetric assays, HPLC assays, SEC-MALS, and SDS-PAGE, and contribute to method bridging studies and qualification to ensure robustness and consistency.
• Maintain accurate, well-organized experimental records and support data verification and analysis to enable process optimization and reproducibility.
• Assist with troubleshooting of synthesis, purification, and analytical procedures.
• Track inventory of critical reagents and assist with ordering as needed.
• Support maintenance of assigned lab instruments, perform general lab duties, and contribute to training new team members.
• Present experimental results and progress updates at group meetings.
• Contribute to laboratory protocols, reports, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 2 years of industry experience, or MS degree with minimum 1 years of industry experience.
• Experience with laboratory-scale protein purification methods such as dialysis, diafiltration, and size-exclusion chromatography; experience with TFF is desirable.
• Working knowledge of analytical methods including colorimetric assays, HPLC, SEC, and SDS-PAGE.
• Hands-on experience with protein conjugation reactions or chemical modification of polysaccharides is desirable.
• Strong attention to detail, organizational skills, and record-keeping abilities.
• Effective communication skills, both verbal and written.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Enthusiasm for learning new skills and applying them to challenges outside of current expertise.
• Commitment to integrity, professionalism, and safety in all aspects of work.

Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

RES is looking for a Scientist II to join our team.

As a Scientist II at RES, you will support the implementation, monitoring, and success of ecological restoration projects across diverse ecosystems. This is a mid-level field and data-focused role that combines fieldwork, technical reporting, and cross-functional coordination to support permitting and compliance documentation. You will collect and manage data, contribute to project reporting, and bring applied knowledge of restoration science to project execution.

Watch the projects our scientists work on here.

Why You’ll Love This Job:

• You’ll get your boots dirty—literally. You’ll spend meaningful time in the field, collecting the data that drives real-world ecological restoration.
• You’ll see the impact of your work. Your efforts support the restoration of wetlands, streams, and habitats that improve ecosystems and communities across the region.
• You’ll learn from the best. With the support of senior scientists and cross-functional project teams, you’ll continue to grow your expertise in restoration science and applied ecology.

What your day-to-day might look like:

You’ll begin your day prepping field gear for a monitoring visit to a stream or wetland mitigation site. Once on-site, you may collect data using GPS, YSI meters, or turbidity sensors, following project-specific protocols and QA/QC standards. You’ll help guide junior team members, ensure field datasheets are accurate, and troubleshoot equipment as needed.

Back at the office, you’ll enter and analyze field data, draft sections of monitoring reports, and interpret site plans or planting palettes. You might meet with design or regulatory teammates to discuss crediting metrics, or help evaluate a site’s feasibility based on regulatory or ecological constraints. You’ll balance independent work with collaborative efforts to move restoration projects forward.

We would like to talk to you if you have many of the following:

• Bachelor’s degree in environmental science, biology, geology, or a related natural/physical science field
• 2+ years of experience in fieldwork, sampling, ecological monitoring, etc.
• Experience in collecting field data independently and following SOPs
• Experience in Wetland delineation and stream assessment
• Experience with vegetation surveys
• Comfortable evaluating site conditions and regulatory constraints
• Familiar with project task tracking and regulatory requirements
• Proficient in GPS/GIS tools
• Skilled in data analysis and technical report writing

What will make you stand out:

• Ability to apply ecological functional protocols
• Certifications (e.g., ArcGIS, drone pilot, YSI/turbidimeter experience) -

You Will Thrive in This Role If You:

• Are comfortable in the field and in the office—and enjoy a balance of both
• Can collect, organize, and interpret scientific data with care and accuracy
• Communicate effectively and take ownership of your tasks
• Can help guide junior field staff and contribute to team learning

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY GROWTH MEASUREMENT?

In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team.

You Will:

• Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies
• Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions.
• Contribute to the development of a robust data infrastructure to support user growth.
• Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights.
• Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership.

You Have:

• A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
• 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation.
• Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design.
• Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools.
• Experience in the gaming industry and/or multisided marketplaces.

Summary:

Vaxcyte is seeking Senior Associate Scientist (Contract), Conjugation Development, who will support the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on analysis of vendor-supplied materials in a capacity similar to a Quality Control Lab, as well as supporting the Conjugation Development team as needed. This is lab-based, full-time position that requires strict adhesion to protocols and documentation standards. The ideal candidate has strong organizational skills, clear communication, a high level of attention to detail, and experience working in a QC environment.

Essential Functions:

• Conduct analyses of vendor-supplied samples using colorimetric assays, gel electrophoresis, and liquid chromatography while strictly adhering to established SOPs
• Support lab operations
• Track shipping details for vendor-supplied samples.
• Review analytical assay data for adherence to SOPs and accuracy.
• Maintain organized records of review status of notebook entries and analytical data.
• Contribute to reports, certificates, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience.
• At least 2 years of experience in an analytical development or quality control role.
• Prior experience running colorimetric assays is required.
• Prior experience with HPLC is required.
• Prior experience with SDS-PAGE is required.
• Excellent attention to detail, organizational skills, and record-keeping abilities.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Commitment to integrity, professionalism, and safety in all aspects of work.

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

We are looking for a Senior Developer Advocate to join our Developer Relations team. In this role, you will focus on engaging SMB customers to help accelerate their success on Atlas and unlock the full potential of the document model, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to fast growing SMBs—to integrate advanced data capabilities into their applications and solutions. If you are passionate about helping developers build, launch, and scale their applications, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in Austin, TX or anywhere in the US. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

Candidate Profile

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a developer, support, or solutions role. They will have 5+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. You will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry. You will guide users to discover the increasing capabilities of our platform including Vector Search and Voyage AI. 

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with your peers and with cross-functional teams (Product, Marketing, Analytics, etc)  at all levels, asynchronously and across time zones, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

• Develop an expertise understanding of core MongoDB database functionality and Atlas features such as Search, Vector Search, Data Federation, Online Archive, and Streaming
• Develop and deliver workshops, webinars, and design reviews for both general audiences as well as for specific customers in order to enable their creation of MongoDB document schemas for their specific workloads
• Communicate insights gathered from developer engagement, through code and content, to inform team members and enable other developers
• Create technical content to evangelize and educate developers across various formats and channels
• Deliver virtual and in-person developer enablement sessions to audiences of up to 400 developers

Requirements

• Experience in creating effective developer-focused code and content
• At least 5 years of experience in both customer-facing and developer-centric roles such as Technical Support, Solutions Architecture, Developer Relations, working with development teams in the design of high performance, scalable database implementations
• At least 3 years of experience (or the equivalent) of consulting with development teams as a non-member of the team
• Proficiency with at least one of the languages most popular with our customers (Java, Python, Javascript)
  Familiarity with 2 or more of the languages popular with our customers (Java, Python, Javascript or Typescript, C#, Rust, PHP)
• Strong presentation skills (both in-person and virtually), with ability in conducting live streams, and public speaking at events
• Written and spoken English language proficiency
• Ability and willingness to travel (up to 10%) primarily within the UK, Europe, and attend team meetings.
• Ability and willingness to shift working schedule to accommodate overlap with US or Asia timezones
• Experience specifically with MongoDB or similar NoSQL/document databases is a plus. 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 4263348181

About Voyage AI Team at MongoDB

Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.

Position Overview

We are seeking a Staff Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks.

This role can be based out of our Palo Alto office, or remotely in the United States.

Responsibilities

• Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers
• Innovate in next-generation information retrieval and LLM agent paradigm
• Collaborate closely with other research scientists and research engineers as well as peers across the organization

Qualifications

• PhD degree in Computer Science or related field
• A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues
• Strong background in machine learning, deep learning, and natural language processing
• Experience building complex neural networks for language and visual understanding
• Capable of conducting rigorous empirical studies to validate theoretical results
• Excellent leadership, problem-solving, and communication skills

What We Offer

• Opportunity to work on real-world problems at the cutting edge of AI research
• Opportunity to utilize research vision to innovate the entire company and make real-world impact
• Exposure to the full lifecycle of AI model development, from research to production
• Our compensation (base + equity) for this position is competitive with frontier AI labs

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 3263258184

Overview

Instacart’s Shopping Experience team is focused on making it effortless for people to discover, plan, and shop the food that fuels their lives. We’re building intuitive, trustworthy experiences that help customers find inspiration, make healthier choices, and get from idea to checkout with confidence.

We’re looking for a Senior Product Manager to lead our Health product area. In this role, you will shape the vision, strategy, and roadmap for how Instacart helps customers discover and shop food that honors dietary needs and helps them achieve their health goals.

You’ll partner closely with design, research, engineering, data science, and go-to-market teams to translate deep user empathy into delightful, impactful products. This is a highly visible, zero-to-one opportunity—ideal for someone who thrives in ambiguity, rolls up their sleeves to execute, and loves building startup-style products within the scale of Instacart.

You’ll join a focused pod within Shopping Experience with 6 engineers, 1 data scientist, 1 designer, and 1 user researcher, and collaborate across a broader group of product managers in the organization. The features you ship will be used by millions of customers every week, giving you the chance to drive meaningful outcomes at scale.

We’re a remote-friendly, fast-moving team that values clear communication, ownership, and collaborative problem solving to serve customers better every day.

About the Job

• Own the end-to-end product strategy and roadmap for Health within Shopping Experience, driving zero-to-one bets from discovery through scaled launch and iteration.
• Partner with design and research to deeply understand customer needs across inspiration, dietary filters, and health-forward discovery; translate insights into simple, elegant product experiences.
• Define success metrics and run a rigorous experimentation program (A/B tests, multivariate tests) to improve core outcomes such as engagement, conversion, and retention.
• Work cross-functionally with engineering, data science, operations, partnerships, legal, and privacy to deliver responsibly built features at scale, balancing speed with quality and compliance considerations.
• Build alignment across diverse stakeholders, communicate tradeoffs and decisions with clarity, and ruthlessly prioritize to maximize customer and business impact in a fast-paced environment.

About You

You combine customer obsession with data-driven decision making, communicate crisply across functions, and are energized by turning ambiguity into clear, measurable outcomes.

Minimum Qualifications

• 6+ years of product management experience building consumer products, including ownership of end-to-end user experiences from discovery through launch and iteration.
• Proven track record shipping zero-to-one products with measurable impact (for example: improved conversion, retention, or engagement) and scaling them to broad adoption.
• Hands-on experience collaborating with product design and user research to convert insights into clear PRDs, prototypes, and shipped features.
• Data fluency with experimentation and analytics (for example: defining success metrics, partnering on A/B tests, interpreting results; SQL proficiency or equivalent analytics tooling experience).
• Experience operating in highly cross-functional environments, influencing without authority, and aligning multiple stakeholder groups to a clear roadmap.
• Bachelor’s degree in a relevant field (such as Computer Science, Engineering, Design, Business, or a related discipline) or equivalent practical experience.

Preferred Qualifications

• Experience in health, nutrition, wellness, or other regulated consumer product spaces.
• Background in e-commerce, marketplaces, personalization/recommendation systems, search, or content experiences.
• Startup or “startup within a startup” experience leading products from zero-to-one in high-ambiguity, fast-moving environments.
• Familiarity with third-party integrations relevant to health (for example: recipes, nutrition data, or health data platforms).
• Exceptional storytelling and communication skills, including the ability to drive alignment across executive and cross-functional audiences.

#LI-Remote

About the Role

You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

Responsibilities

• Build, adapt, and automate display systems to facilitate AI antibody design. 
• Establish, develop, and/or optimize cutting edge technologies to enable data generation at scale for AI model training or evaluation
• Design and apply multiple innovative selection techniques to provide data at scale based on ML training needs. 
• Design, setup, optimize, and use automation to characterize affinity and function at the clonal level. 
• Contribute to the preparation of technical reports and presentations.
  
  

Qualifications

• Significant hands-on experience with protein display techniques such as yeast and/or phage display. Experience in library design, build, panning/sorting and validation. 
• Bachelor of Science or Master’s degree in Molecular Biology, Biology, Biochemistry, or related fields with 2-6 years of industrial experience.  . 
• Familiarity with antibody binding assays and automating them (ELISA, SPR, FACS).
• Proficiency in molecular and cell biology techniques, including mammalian tissue cell culture, and basic skills in molecular biology labs.
• Working knowledge of software and programming for large data set analysis.
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members

Schedule Flexibility: Due to the nature of experimental workflows, this role will require availability on weekends (approximately every couple of weeks). 

Employment Type: Contract

Contract Duration: 9 Months

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $45-$60 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
As a Senior Research Associate Scientist in the Protein Engineering group, you will be a crucial member of our interdisciplinary team, comprising highly creative and talented individuals with exceptional expertise in protein characterization and engineering. This group is responsible for enabling AI drug discovery efforts and optimizing lead molecules. You will work collaboratively with protein designers, biologists, and other drug discovery team members.

We’re looking for an extraordinary library builder who can design, generate and scale complex DNA assemblies for our protein engineering and display teams. This role requires extensive experience with combinatorial, designed and naive library building with the relevant microbiological and protein level expertise to express & qualify them once built. This hands-on role is best for someone who can keep NGS, protein biochemistry, and DNA assembly needs in mind when building complex libraries at speed. 

About You
You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

What You'll Do and Learn

• Design and apply multiple innovative selection techniques utilizing synthetic libraries, like phage, yeast display, and mammalian display. 
• Utilize FACS sorting, plate-based screening, and NGS to identify binders.
• Setup and use automation to further rank leads for affinity and function. 
• Collaborate with cross-functional teams to troubleshoot protein reagents. 
• Train and mentor junior team members, providing guidance on experimental design, data analysis, and troubleshooting.
• Maintain accurate and detailed records of experiments, protocols, and results in accordance with company standards and regulatory requirements.
• Interpret and present scientific findings at research meetings. Provide scientific input and propose follow-up experiments.
• Collaborate and communicate across diverse research teams to successfully achieve scientific goals.
• Contribute to scientific publications, patents, and presentations to disseminate research findings both internally and externally.

Qualifications

• Bachelor of science or master degree in Molecular Biology, Protein Biochemistry, or related fields with 5+ years of industrial experience.
• Hands-on experience with yeast display system and library building.
• Cloning complex assemblies with multi-part golden gate, gibson, and other techniques
• Experience with DNA synthesis CROs.
• High proficiency in yeast display to protein targets, soluble and membrane.
• Proficiency in molecular and cell biology techniques, such as DNA extraction, PCR, enzymatic DNA treatments and library preparation QC for NGS..
• Mammalian tissue culture.
• Antibody engineering and discovery experience.
• Flow cytometry experience (both analytical and sorting). 
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members.
• Experience using LIMS and Benchling systems.

Nice to have Skill(s)

• Experience in protein purification techniques (including affinity, ion exchange, HIC, SEC) and in chromatography hardware and software (Cytiva AKTA, Agilent HPLC).
  
  

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking an Associate Scientist to join our High-Throughput (HTP) team to support the discovery and development of innovative protein therapeutics. This role focuses on the design and execution of HTP expression, purification, and characterization campaigns. You will work at the interface of biochemistry and automation, collaborating closely with our robotics and data teams to advance candidate molecules from in silico design to physical validation.

About You
The successful candidate works effectively both independently and as part of cross-functional teams. Experience collaborating with discovery, process development, and analytical departments is highly desirable. We require an adaptable scientist with strong communication skills and the ability to present data across team and departmental levels. You should excel in fast-paced environments, managing multiple responsibilities and shifting priorities. You are expected to work effectively both independently and as part of a team to drive complex projects forward. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.

Key Responsibilities

• High throughput protein expression, purification and characterization from multiple systems including cell free systems and mammalian is the primary responsibility.
• Drive team throughput and data quality by developing novel strategies for parallel protein processing. Key responsibilities include optimizing expression and purification workflows and conducting quality control and functional assays for proteins used in therapeutic development and in silico design.
• Excellent record keeping and organization is a must
• The experience and flexibility to work on upstream medium scale expression and downstream purification is a plus.
• Perform analytical characterization of purified proteins using HPLC, CE-SDS, and icIEF to ensure high-quality candidates for therapeutic development.

Qualifications

• B.S. (6+ years) or M.S. (6+ years) in a relevant scientific discipline; industrial experience preferred. (PhD (2+ years)
• Proven expertise in high-throughput (HTP) protein production, with a specific focus on cell-free protein expression (CFPE) and/or mammalian transient expression systems.
• Understanding of the biophysics of protein-protein interactions, protein chemistry, experience in the molecular biology and biophysical techniques essential for protein work is required.
• Demonstrated hands-on experience with high-throughput (96/384-well) expression and purification workflows.
• Proven track record of independent project management and cross-functional collaboration.
• Dedicated to inclusive leadership and maintaining a respectful, diverse team environment.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $101,000 - $126,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

• Develop multimodal foundation models spanning image and molecular data
• Design approaches that unify representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation
• Build scalable systems for data processing, training, and evaluation
• Work in a research-driven environment with evolving problem definitions

• Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
• Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)

• Work on multimodal learning or cross-domain representation learning
• Experience with image data, molecular / omics-like data, or both
• Familiarity with large-scale training

• Exposure to biological or scientific datasets
• Experience with paired or partially aligned multimodal data
• Comfortable working in open-ended, evolving problem spaces

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
Xaira Therapeutics is seeking a lab-based Senior Scientist in Inflammation and Immunology to join our Biology & Pharmacology department. This role is ideal for someone who thrives in a hands-on research environment, has experience working with primary human or mouse immune cells and ex vivo tissue systems, and is excited to help shape therapeutic program strategy.

In this role, you will investigate disease biology and drug mechanisms, generate actionable data, and contribute to advancing therapeutic programs through cross-functional collaboration.

What You’ll Do

• Drive preclinical programs by designing and executing in vitro and in vivo studies that explore disease biology, target validation, and lead candidate development.
• Identify knowledge gaps, ask critical mechanistic questions to guide program direction, and evaluate novel targets and therapeutic strategies.
• Dissociate human tissue biopsies into single-cell suspensions or establish human tissue slice cultures for downstream functional or phenotyping assays.
• Lead immune profiling and functional characterization using high-parameter flow cytometry (15+ colors or spectral platforms), functional assays (T cell activation, differentiation, proliferation, suppression), and molecular/cytokine profiling (MSD, Luminex, qPCR, RNA sequencing).
• Translate experimental data into actionable insights and clearly communicate findings and recommendations to cross-functional teams.

What We’re Looking For

• PhD in Immunology or a related field with 3+ years of relevant experience; industry experience preferred.
• Track record of impact through publications, presentations, or applied research.
• Hands-on experience with primary human or mouse immune cells and/or ex vivo tissue systems.
• Strong expertise in flow cytometry, including high-parameter panel design, execution, and data analysis.
• Proven ability to independently plan, execute, troubleshoot, and interpret experiments.
• Highly organized, with the ability to manage multiple workstreams in a fast-paced environment.
• Clear communicator who can distill complex data into actionable insights.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $140,000 - $170,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.

Key Responsibilities

• Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
  Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data.
• Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
• Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
• Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
• Publish methods and results in top scientific journals and present at conferences.
  
  

Qualifications

• PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
• Strong expertise in single-cell data analysis, particularly perturb-seq 
• Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
• Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
• Experience in developing scalable ML methods for large biological datasets.
  
  

Preferred

• Background in causal inference, generative models, or representation learning for biological systems.
• Familiarity with multi-omics integration and cross-modal foundation models.
• Track record of impactful publications in computational biology, machine learning, or related fields.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

We are seeking a driven Scientist and experimentalist who combines strong hands-on molecular biology skills with a creative, critical, and builder-oriented mindset. This role is focused on assisting in the design, construction, and iteration of novel screening platforms and experimental workflows that enable biological discovery at scale.

The ideal candidate is a self-starter who enjoys working in ambiguous problem spaces, thinks deeply about experimental design, and takes ownership of turning early ideas into robust, reproducible systems. You will work collaboratively with other teams, including automation, engineering, and computation, to invent new ways of generating high-quality biological data.

Key Responsibilities

• Develop novel antibody screening technologies and experimental platforms, from early proof-of-concept through scalable, robust workflows
• Design, implement, and optimize screening assays, including biochemical, molecular, and cell-based readouts
• Assist multidisciplinary platform development efforts as a biochemical expert through microbial and mammalian cell line engineering (e.g. cloning, genome editing, expression optimization)
• Apply data-driven and critical thinking approaches to troubleshoot, refine, and improve workflows, enhancing throughput, robustness, and interpretability
• Clearly document experimental workflows, present results, and contribute to shared platform standards while maintaining flexibility for rapid exploration
• Collaborate closely with cross-functional partners (automation, engineering, computation) to integrate biology, data, and technology into cohesive systems

Required Qualifications

• PhD in Molecular Biology, Bioengineering, Biochemistry, or a related field with 1+ years of industry experience, or
  B.S. or M.S. with 8-10 years of relevant industry or applied research experience
• Prior work on platform, workflow, or method development, especially in exploratory or early-stage settings (see examples under Bonus Skills)
• Experience with antibody discovery and engineering workflows, including panning, enrichment, or display-based screening approaches
• Experience with assay development, optimization, and experimental troubleshooting
• Strong hands-on experience in molecular cloning and DNA manipulation
• Experience with cell-line engineering (e.g. E. coli, yeast, mammalian or related systems)
• Demonstrated ability to work independently, think critically, and drive conclusive experiments
• Strong organizational skills and attention to experimental detail

Preferred Qualifications

• Experience with functional antibody screening or protein–protein interaction assays
• Familiarity with high-throughput or semi-automated screening systems
• Experience working with data-rich experimental systems
• Comfort operating in fast-moving, collaborative, and partially undefined problem spaces

Nice to Have

Experience in one or more of the following areas would be a plus:

• Spatial biology technologies (e.g. spatial transcriptomics, in situ or imaging-based assays)
• Single-cell technologies, including single-cell sequencing or high-content single-cell assays
• Microarray-based assays or other multiplexed screening formats
• Microfluidics, particularly for screening, assay miniaturization, or single-cell applications
• High-content imaging or phenotypic screening
• Experience studying or manipulating cell-internal signaling pathways (e.g. receptor signaling, transcriptional regulation, immune signaling, stress responses, or related pathways)
• Protein expression, secretion, or trafficking assays

Compensation: Annual

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual is  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

• Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
• Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
• Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
• Build and maintain strong working relationships with internal teams, investigators, and external partners
• Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
• Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
• Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
• Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
• Contribute to development of abstracts, presentations, and publications
• Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
• Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
• Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

• Familiarity with statistical methods or programming (e.g., Python, R)
• 5+ years of experience in clinical research or scientific roles within medical devices or related fields
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Familiarity with clinical study design, endpoints, and data analysis concepts
• Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
• Ability to work cross-functionally with clinicians, engineers, and operational teams
• Strong written and verbal communication skills, particularly in scientific and technical contexts
• High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

• Experience with neurological, neurosurgical, or implantable medical device studies
• Experience supporting protocol development, data analysis, or clinical reporting
• Publications or scientific presentations in biomedical engineering or neuroscience
• PhD  in neuroscience, biomedical engineering, or a related field
  

Additional Requirements and Competencies: 

• Willingness to travel (up to ~20–30%) to support site visits, investigator meetings, and study activities
• Strong organizational and documentation skills
• Ability to work independently while collaborating closely with cross-functional teams
• Adaptability and comfort in a fast-paced, high-growth environment
• Commitment to scientific rigor, patient safety, and high-quality evidence generation

Team Description:

The Preclinical Team is responsible for designing, conducting, documenting, analyzing, and reporting preclinical studies. Our team provides a means for ensuring the safe, effective, and robust implantation of Neuralink devices into animals and, ultimately, humans.

Job Description and Responsibilities:

The Study Coordinator provides critical operational and project management support to the Study Director in GLP-regulated preclinical studies for Neuralink devices. This role handles the majority of day-to-day coordination, scheduling, data compilation, and administrative tasks, enabling the Study Director to focus on scientific oversight, data interpretation, and regulatory compliance. The Study Coordinator acts as a key liaison across the preclinical team, technical staff, and cross-functional groups to ensure studies progress smoothly, on time, and in compliance with protocols and SOPs. The Study Coordinator will:

• Support the Study Director in developing study protocols, amendments, and related documentation.
• Facilitate cross-functional communication, establish and track study timelines, and prepare/lead study milestone meetings.
• Identify and help eliminate roadblocks that could delay study progress.
• Assist with implementation of test methods and practices described in the study protocol and SOPs.
• Help ensure all experimental data, including observations of unanticipated responses of the test system, are accurately recorded and verified.
• Manage the study schedule, alerting the Study Director and team to critical data collection points or deadlines.
• Support the documentation and addressing of self-reported or QAU-generated deviations that may affect study quality.
• Compile data, organize contributing scientist reports, and assist in preparing the final study report so it accurately reflects study results.
• Maintain organized study files, track communications, and support archiving of data, documentation, protocols, specimens, and reports per GLP.
• Coordinate day-to-day study activities with technical staff, veterinary teams, and external partners (e.g., CROs if applicable).
• Contribute to internal tracking systems, meeting minutes, and status updates for the Preclinical Team.

Required Qualifications:

• Bachelor’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Minimum 1 year of experience in preclinical research support, study coordination, or project management (academic experience applies).
• Solid understanding of GLP regulations (21 CFR Part 58), basic knowledge of ISO 10993, and familiarity with in vivo animal studies.
• Strong organizational and project management skills with proven ability to manage timelines and multiple priorities.
• Excellent attention to detail and proficiency in data compilation, documentation, and Microsoft Office (or equivalent) tools.
• Experience working in or supporting animal research facilities with IACUC protocols.

Preferred Qualifications:

• Master’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Direct experience with neural device implantation studies or neurosurgical models.
• Background in a CRO or medical device preclinical setting.
• Familiarity with electronic data capture systems or GLP-compliant documentation platforms.

Additional Requirements and Competencies:

• Willingness to work in an animal research facility environment (with required training and PPE).
• Flexibility in schedule to support critical study timepoints.

Summary:

Vaxcyte is seeking an Associate Scientist II (Contract), Conjugation Development, who will contribute to the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on the synthesis, purification, and analytical characterization of chemically modified polysaccharides and polysaccharide-protein conjugates. The successful candidate will apply a strong foundation in analytical chemistry and laboratory techniques to optimize and troubleshoot processes, while also supporting related areas such as analytical development and stability studies. This position requires strong organizational skills, clear communication, and the ability to work in a fast-paced, cross-functional environment.

Essential Functions:

• Perform and optimize multi-step syntheses of protein-polysaccharide conjugates.
• Purify polysaccharides and conjugates using methods including dialysis, size-exclusion chromatography, and tangential flow filtration (TFF).
• Analyze polysaccharides and conjugates using methods such as colorimetric assays, HPLC assays, SEC-MALS, and SDS-PAGE, and contribute to method bridging studies and qualification to ensure robustness and consistency.
• Maintain accurate, well-organized experimental records and support data verification and analysis to enable process optimization and reproducibility.
• Assist with troubleshooting of synthesis, purification, and analytical procedures.
• Track inventory of critical reagents and assist with ordering as needed.
• Support maintenance of assigned lab instruments, perform general lab duties, and contribute to training new team members.
• Present experimental results and progress updates at group meetings.
• Contribute to laboratory protocols, reports, and other documentation supporting process development.
• Collaborate effectively with team members and contribute to cross-functional activities.

Requirements: 

• BS degree in Chemistry, Biochemistry, or related field with minimum 2 years of industry experience, or MS degree with minimum 1 years of industry experience.
• Experience with laboratory-scale protein purification methods such as dialysis, diafiltration, and size-exclusion chromatography; experience with TFF is desirable.
• Working knowledge of analytical methods including colorimetric assays, HPLC, SEC, and SDS-PAGE.
• Hands-on experience with protein conjugation reactions or chemical modification of polysaccharides is desirable.
• Strong attention to detail, organizational skills, and record-keeping abilities.
• Effective communication skills, both verbal and written.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Enthusiasm for learning new skills and applying them to challenges outside of current expertise.
• Commitment to integrity, professionalism, and safety in all aspects of work.

Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. 

Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.

We are driven to create quality real-world data in ophthalmology, neurology, urology, and oncology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values.

Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, VA, WA, D.C. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. 

Candidates based in the Bay Area, New York City, and Knoxville, Tennessee will be give priority consideration. For these locations, the position will follow a hybrid work model, with 3 days per week in office and the remaining days working from home. 

*Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*

Job Title: Quantitative Scientist

Why This Role Matters:

The Quantitative Scientist will be responsible for executing and providing oversight and guidance on the analytical, statistical and epidemiological components of Verana research projects and data quality initiatives. The primary function of this role will be to conduct, guide, and manage the analytical execution of Verana research projects . The Quantitative Scientist will collaborate cross-functionally to build research capacity and adopt quality standards across Verana's business units.  This position requires an experienced individual with knowledge of statistics, ability to develop and review code with a solid understanding of coding best practices, a strong understanding of epidemiological study designs, as well as excellent communication and interpersonal skills.  In addition, you should be able to continually unearth and present interesting trends that have clinical, research, and business importance for our customers and oncology patients at large.  You will be joining a friendly, high performing and diverse research team with backgrounds in public health, health economics, biology, and statistics.  This role will report to the Vice President, Research.

WHAT WILL YOU GAIN

• Expertise in the oncology real-world data industry, a fast-growing segment of health data
• Experience executing oncology research and analytical/statistical methods to answer key questions for patients, providers, and life science companies

WHAT TO EXPECT IN YOUR FIRST YEAR AT VERANA:

In thirty days, you will:

• Understand the full suite of Verana’s research offerings and analyses
• Understand the research team’s GitHub repo and analysis template 

In three months, you will:

• Contribute to internal and external meetings related to Verana research and analyses
• Gain expert understanding of Verana’s data model  
• Implement clinical specifications on real-world data and add to the suite of functions available for analyses

In six months, you will:

• Personally execute analytical research projects
• Contribute to the development of project collateral, research protocols, abstracts, posters and manuscripts
• Guide and mentor data scientists and analysts 

In one year, you will:

• Lead the analytical execution of Verana’s research projects for life science, provider, and regulatory partners 
• Scope projects to determine feasibility, estimated costs, and expected timelines
• Provide guidance to Verana’s client partners in the use of Verana’s data model and analytical/statistical methodologies 

HOW YOU WILL IMPACT VERANA

• Lead the design and development of Verana research studies from a statistical and analytical perspective
• Contribute to the development of protocols and statistical analysis plans 
• Develop code and produce results as defined in protocols and statistical analysis plans
• Collaborate with physicians, statisticians, data scientists, business leaders, and others within and outside Verana to conduct research projects including observational studies, pharmacoeconomic analyses, and other relevant study types
• In partnership with the Research Team, communicate studies in progress and demonstrate results to key stakeholders through high quality abstracts, posters, and publications
• Manage and mentor a team of data analysts and data scientists, including reviewing code and analytical output
• Contribute to the evolution of Verana’s quality assurance framework, including identifying data quality issues during analysis
• Maintain current and in-depth understanding of real-world data analytical methodologies, along with the ability to lead and mentor internal team members in successfully executing them

WHAT YOU BRING TO THE TABLE

• Masters degree in computer science, statistics, applied math, econometrics, MPH, or similar quantitative field
• 3+ years of relevant research experience in the field of oncology (post-graduation)
• Experience working with real-world data sourced from electronic health records
• Experience analyzing claims data 
• Advanced knowledge of SQL, R programming, and version control (git)
• Deep understanding and experience with descriptive statistics, logistic and multivariate regression analysis, power calculations, propensity score analysis, and survival analysis
• Significant experience developing protocol documents, statistical analysis plans (SAPs), and manuscript tables and figures
• Evidences well-developed conceptual and integrative thinking with ability to access internal and external resources as needed 
• Project implementation and execution, including engagement with key stakeholders, with a high degree of autonomy
• Mentors junior analysts in HEOR and statistical analysis methodologies
• Excellent written and verbal communication skills
• Strong organizational and time management skills 
• Works well independently, as a team member, and as a team leader 
• Comfort working in a fast-paced, dynamic environment

NICE TO HAVE

• Experience implementing data science methodologies
• Understanding of data quality metrics and/or quality management systems

Benefits:

• We provide 100% health, vision, and dental coverage for employees 
• 401K Match
• Flexible vacation plans 
• $700 learning and wellness annual stipend 
• Headspace meditation app access

Final note:

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

#LI-REMOTE

About the Role
Our Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented data scientists in a high-performance and high-impact culture.

What You’ll Accomplish

• Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings
• Design and execute experiments, interpret results, and draw actionable conclusions
• Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps
• Present findings to senior leadership to inform and influence business decisions
• Collaborate with cross-functional teams across product, engineering, client services, and sales to drive business value from ideation to production

Your Expertise

• Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
• Knowledge of experimental design and analysis
• Experience with exploratory data analysis, statistical analysis and testing, and model development
• Ability to use Python to work efficiently at scale with large data sets
• Advanced proficiency in SQL

Nice to Haves

• 4+ years of industry experience as an Applied or Data Scientist or equivalent
• Familiarity with advanced statistical inference, experimentation, and causal inference methods
• Econometric experience with pricing and promotion optimization
• Expertise in customer lifetime value modeling
• Experience in personalization systems and cross-sectional cohort modeling
• Background in operations research (e.g., scheduling or assignment problems)
• Knowledge of advanced topics in XGBoost modeling

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $250,000 - $300,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-MDK1

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Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

[Location: remote-friendly or any office location - SF, LA, CHI, NY]

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Location: US remote-friendly

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-Remote

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

• Required:
  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Demonstrated expertise in at least one of the following areas:
    • Measurement & Experimentation at Scale (with focus on lift and attribution)
    • Identity Graph Creation & Resolution Methodology and Infrastructure
    • Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R) and SQL
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Location: US remote-friendly

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

• Required:
  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Demonstrated expertise in at least one of the following areas:
    • Measurement & Experimentation at Scale (with focus on lift and attribution)
    • Identity Graph Creation & Resolution Methodology and Infrastructure
    • Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R) and SQL
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-Remote

Legend Biotech is seeking a Principal Scientist, Clinical Biomarker, Immunology, Immuno-Oncology, & Hematology (Contractor) as part of the Research & Development team based in Somerset, NJ.

Role Overview

We are seeking a highly motivated and innovative Principal Scientist to join our immunology and immuno-oncology (IO) clinical biomarker projects, with a dedicated focus on hematological malignancies. In this role, you will drive the clinical translational understanding of novel therapy in hematology. You will serve as the biology lead on cross-functional project teams, drive MOA of novel cell therapy and clinical biomarker strategy.

Contract Duration: 12 months

Key Responsibilities

• Scientific Leadership: Design, execute, and analysis results from clinical studies to investigate the mechanisms of action for novel IO targets in hematological indications (e.g., AML, DLBCL, Multiple Myeloma).
• Translational Strategy: Bridge discovery and clinical development by utilizing primary human samples and clinical datasets to validate targets and understand the immune microenvironment in hematology.
• Understanding MOA: Oversee the generation and interpretation of high-dimensional molecular and cellular data. Leverage advanced single-cell technologies (e.g., scRNA-seq) to deeply profile immune cell compartments, particularly T-cell states and exhaustion markers, to inform patient stratification and biomarker hypotheses.
• Cross-Functional Collaboration: Partner closely with other functional teams for better understanding of MOA and fundamental immunology

Requirements

• Ph.D. in Immunology, Immuno-Oncology, Cellular Biology, or a closely related discipline, can initiate and lead data driven MOA studies. Experience with cell therapy a plus but not required.
• A minimum of 5-8+ years of post-doctoral and/or industry experience in biotech or pharma, with a proven track record of advancing IO programs. Deep understanding of immunology, particularly T cell biology highly desirable.
• Deep biological understanding of hematological malignancies and the unique tumor immune microenvironment of the blood and bone marrow.
• Experience working with multiple dimensional data, extract biological insights from data highly desirable.
• Exceptional written and verbal communication skills, with the ability to distill complex data into clear, actionable strategic decisions.

#Li-JR1

#Li-Contract

Legend Biotech is seeking a Sr. Principal/Principal Scientist as part of the Research & Early Development team based in Somerset, NJ.

Role Overview

Legend Biotech is seeking a highly experienced Senior Principal Scientist / Principal Scientist – Flow Cytometry to provide scientific leadership and hands-on expertise in flow cytometry to support cell and gene therapy programs from IND-enabling studies through early- and late-stage clinical development. This role is critical for ensuring scientific rigor, data quality, and strategic insight across in-house and outsourced flow cytometry activities, including assay development, validation, CRO oversight, and deep data interpretation to support translational, PK/PD, and regulatory decision-making.

Key Responsibilities

Scientific & Technical Leadership

• Lead the design, development, optimization, qualification, and validation of multicolor and spectral flow cytometry assays supporting IND-enabling animal studies and clinical trials.
• Provide subject-matter expertise in panel design, antibody and reagent qualification, gating strategies, and data analysis for complex immunophenotyping applications.
• Conduct deep scientific review and interpretation of flow cytometry datasets to support PK/PD, mechanism-of-action, and translational insights.

CRO & Vendor Oversight

• Serve as the primary scientific lead for external laboratories and CROs performing flow cytometry assays.
• Oversee assay transfer, validation, execution, troubleshooting, and data delivery at CROs.
• Ensure outsourced activities meet Legend quality standards, regulatory expectations, and program timelines.
• Identify risks related to assay performance, data quality, and operational execution, and implement mitigation strategies.

Regulatory & Compliance

• Author, review, and approve bioanalytical assay validation reports, study reports, and regulatory documentation.
• Ensure flow cytometry assays and data packages are inspection-ready and compliant with GxP principles and data integrity requirements.
• Contribute to bioanalytical sections of IND and other regulatory submissions.

Cross-Functional Collaboration

• Partner with Clinical, Translational Research, Biomarkers, Nonclinical Safety, and Data Science teams to align assay strategy with program objectives.
• Provide scientific input to study design, endpoint selection, and interpretation of bioanalytical results.
• Communicate complex data clearly to multidisciplinary stakeholders.

Operational Excellence & Mentorship

• Establish and maintain SOPs, best practices, and governance for in-house flow cytometry workflows.
• Mentor and scientifically guide junior scientists and associates.
• Evaluate and implement new technologies, platforms, and analytical approaches to enhance capabilities.

Requirements

• Ph.D. in Immunology, Cell Biology, Molecular Biology, or related discipline with 8+ years (Principal Scientist) or 10+ years (Senior Principal Scientist) of relevant industry experience; or M.S. with 12+ years of experience.
• Extensive hands-on experience with multicolor and spectral flow cytometry platforms.
• Demonstrated experience supporting cell therapy and/or gene therapy programs.
• Strong understanding of bioanalytical method development, validation, and regulatory expectations.
• Proven ability to lead complex programs, influence cross-functional teams, and provide strategic scientific direction.
• Experience overseeing CROs and external vendors.
• Excellent written and verbal communication skills.
• Experience with CAR-T, in vivo gene delivery, or other advanced cell therapy platforms.
• Experience contributing to IND-enabling or regulatory filings.
• Background in translational PK/PD applications of flow cytometry. 

#Li-JR1

#Li-Onsite

Legend Biotech is seeking a Senior Clinical Research Scientist as part of the Clinical Development team based in Somerset, NJ.

Role Overview

The Clinical Research Scientist (CS) in Clinical Development is an important role in the company supporting the development and life cycle of drug development projects. The Clinical Research Scientist will work closely with the Clinical Trial Lead/Medical Lead and Clinical Trial Manager to design and implement clinical trial protocols and manage sites, CROs and other associated work. In addition, the CS will support their manager to ensure program consistency & alignment across studies, working closely with cross-functional teams for achieving project goals, within timelines & with high quality. This clinical scientist will support early phase drug development in autoimmune indications.

Key Responsibilities

• Responsible to ensure the data review and cleaning activities meet the quality standards to support database locks in collaboration with data management and medical lead/clinical trial lead. Uses clinical and disease state knowledge to make recommendations for methods and strategy for data cleaning approach
• Collaborate with other functions to successfully support the planning and execution of clinical studies. Provides independent leadership of all areas requiring clinical input with oversight from the assigned Clinical Trial Lead/Medical Lead, and provides innovative and quality solutions for assigned problems and tasks.
• Provides clinical input and strategic recommendations for the planning and implementation of assigned clinical trial(s) including investigator selection, patient recruitment, feasibility questionnaire, training PowerPoints, and supporting Ethics committee submissions.
• Contributes to the strategic planning, preparation, and review of clinical documents (Protocol, ICFs, CSR, investigator brochure). May lead certain documents or sections of documents, including incorporation of input from other cross-functional team members.
• Provides clinical input and strategic recommendations for regulatory documents needed for all stages of assigned trial lifecycle (IND documentation, HA briefing books, BLAs, and Orphan Drug Applications).
• Responsible for clinical portions of key data management/statistical documents (eg: Case Report Forms, edit checks, data review plan and reports).
• Contribute to the planning and execution of external meetings and internal stakeholder meetings (e.g., Ad Boards, IMs, Governance, DMCs, Regulatory Authority, Dose Escalation meeting); responds to or triages questions for appropriate escalations. May have a speaking role on meetings when appropriate.
• Supports their manager when asked to contribute to harmonization between clinical trials and process improvement initiatives.
• May have the authority to make decisions related to issuing data cleaning queries and can decide whether there is a need to escalate for further discussion with the medical lead. They may also be delegated tasks from the clinical trial lead/medical lead for which they have decision making authority e.g. comment resolution when leading document creation.

Requirements

• At least a Bachelor’s degree in life science discipline.
• Bachelor’s degree with 4+ years’; or MS with 3+ years’; or PharmD/PhD with 2+ years of pharma experience in clinical development or related function.
• CAR-T cell therapy and/or autoimmune disease experience is a plus.
• Good interpersonal & communication skills, including oral, written and interpersonal.
• Ability to effectively manage conflicts and negotiations while providing impact and influence.
• Collaborative with the ability to operate across multiple geographies.
• Good leadership & organizational skills, analytical skills, and presentation skills.
• Creative problem-solving skills.
• Strong organizational and project management skill and the ability to multitask.
• Computer literacy required (MS word, MS excel, MS PowerPoint and MS Project).
• Oncology Therapeutic Experience preferred.
• Excellent working knowledge of GCP, FDA and ICH Guidelines.

#Li-JR1

#Li-Hybrid

Legend Biotech is seeking a Principal Scientist, Lentivirus Downstream Process Development as part of the Technical Development team based in Somerset, NJ.

Role Overview

The Principal Scientist, Lentivirus Downstream Process Development, will be a key technical leader responsible for designing, optimizing, and scaling purification processes for lentiviral vectors (LVV) within our innovative pipeline. This role focuses on delivering high-quality vector products to support LVV generation and other advanced cell therapy programs. The successful candidate will drive scientific excellence in downstream processing (DSP)—including clarification, chromatography, TFF, sterile filtration and fill/finish—ensuring processes are robust, scalable, and phase-appropriate for GMP manufacturing. This position demands a blend of hands-on technical mastery and strategic thinking to accelerate timelines while maintaining a patient-focused approach.

Key Responsibilities

• Design and execute highly efficient purification strategies for lentiviral vectors, specifically optimized for CAR-T applications.
• Direct the development and optimization of downstream processes including and not limited to: clarification (depth filtration, centrifugation), chromatography (AEX, SEC, HIC), and Tangential Flow Filtration (TFF) for concentration and diafiltration.
• Provide hands-on training as needed.
• Direct the translation of bench-scale processes to GMP manufacturing, ensuring seamless technology transfer and providing troubleshooting support during clinical production runs
• Lead the execution of study protocols to define operating parameters and performance limits; implement state-of-the-art knowledge management for DSP data.
• Communicate the potential for issues and delays along with solutions and mitigation approaches.
• In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads identify project acceleration opportunities.
• Leverage advanced science and technology to maximize vector recovery, purity, and potency, identifying creative solutions to define unknowns in the viral vector field.
• Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement.
• Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND/IMPD).
• Work closely with Upstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes.
• Tech transfer process to/from other Legend sites or CDMOs
• Resolve conflict and proactively identify/address performance issues.
• Ensure compliance with regulatory requirements. 

Requirements

• Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field.
• 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting.
• Deep technical hands-on experience in purification, chromatography, and TFF specifically for viral vectors (Lentivirus preferred)
• Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials.
• Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field
• Ability to implement closed-system processes and maximize cost effectiveness
• Strong knowledge in engineering modeling and optimization.
• Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines.
• Creative, strategic thinking
• Strong troubleshooting skills
• Preferred experience in developing vector processes tailored for CAR-T generation and systemic delivery
• Preferred experience in handling large scale(>50L) purification process.
• Language: English. Mandarin is a plus. 

#Li-JR1

#Li-Hybrid

Legend Biotech is seeking a Preclinical Scientist as part of the Research and Early Development team based in Somerset, NJ.

Role Overview

This position will perform preclinical IND-enabling pharmacology and toxicology studies to support pipeline programs. The ideal candidate will have experience in immunology or immune-oncology to assist preclinical cell therapy studies from discovery to first-in-human trials, and through marketing authorization. Furthermore, the successful candidate will work in a collaborative environment , and would be skillful in driving multiple projects by contributing to the development of cell-based immunotherapies.

Key Responsibilities

• Develop and validate assays to support diverse projects from lead optimization to the conduct of preclinical pharmacology and toxicology studies for regulatory submission. This includes, designing, optimizing, and implementing IND-enabling studies, contributing to the creation, review, and approval of prospective standard operating procedures, executing in vitro and in vivo IND-enabling studies, recording all experiments in an electronic laboratory notebook, reporting any deviations, analyzing and reporting processed data in the form of a study report.
• Design and support in vitro IND-enabling studies to assess efficacy and safety of cell therapies. 
• Support the preparation of scientific and regulatory documents of IND-enabling preclinical studies.
• The Preclinical Scientist will work independently reporting directly to the Director of Preclinical Pharmacology and Toxicology.
• The Preclinical Scientist will demonstrate competency and professionalism especially as it pertains to using the scientific method to design, execute, and troubleshoot in vitro laboratory experiments.

Requirements

• BS plus 5 years of experience, MS plus 3 years of experience.
• Work experience in immunology, cancer biology or related fields.
  
• Knowledge and expertise in immune-oncology of large molecules or cell therapy is a plus.
  
• Strong scientific background with hands on experience in cellular and molecular biology techniques (e.g., flow cytometry, ELISA, cell culture and cytotoxicity assays, qPCR, Western Blot and others).
  
• Demonstrated track record of scientific contributions in peer-reviewed journals and symposia.
  
• Ability to manage multiple programs in parallel while delivering on key milestones.
  
• Knowledge of GLP and regulatory agencies is a plus.
  
• Ability to multi-task in a fast-paced, highly collaborative diverse team environment.

#Li-JR1

#Li-Onsite

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. 

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

We are a Data Science team at Oscar dedicated to improving the Member Experience by embedding advanced analytics into our core technology and operations. We focus on building data products that bridge the gap between complex health insurance workflows and seamless, member-centric service.

You will drive the evolution of our member-facing tools by developing the LLM frameworks and ML models that underpin our automated support systems and digital interfaces. You will be responsible for evaluating both tool performance and member behavior to surface deep insights that inform our broader product and operations strategy.

You will report into the Lead Data Scientist.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

• Works with team and manager to impact longer term strategies and roadmap
• Sets shorter term roadmap for team
• May manage data scientists and/or analysts
• Interacts and collaborates closely with data and business counterparts across functional areas
• Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
• Compliance with all applicable laws and regulations
• Other duties as assigned 

Requirements:

• 4+ years of industry or other quantitative technical fields (which may include academia).
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

• Advanced degree in a quantitative or technical field
• Experience in the healthcare, finance and/or insurance industries
• Experience evaluating consumer-facing digital products in collaboration with Product and Engineering teams

What Impact You'll Have: 

We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community.   The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). 

What You'll Be Owning: 

• Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
• Lead and participate in the design of solutions and refinement of pre-existing processes
• Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
• Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
• Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
• Research and implement optimization models, strategies, and methods to inform data management activities and analysis
• Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
• Conduct peer reviews to improve quality of workflows, procedures, and methodologies
• Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

What You Must Have: 

• Active TS/SCI Clearance with ability to obtain a CI Poly
• 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
• Experience supporting IC operations Possess expert level knowledge to manipulate and analyze structured/ unstructured data
• Demonstrated experience in data mining and developing/maintaining/manipulating databases
• Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
• Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
• Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
• Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
• Experienced in conducting multi-INT and technology specific research to support mission operations
• Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format

What Would Be Nice to Have:

• Possess Master's degree in Data Science or related technical field Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
• Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
• Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development. 
• Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
• Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

This position will be responsible for performing non-research biological science work utilizing microbiological and molecular techniques, including, but not limited to, DNA extraction and real-time polymerase chain reaction (real-time PCR) to rapidly identify and characterize potential pathogenic bacterial and viral threat agents.

Responsibilities:

• Handling, receipt, and processing of operational, Quality Assurance (QA), and proficiency test (PT) samples potentially containing biological threat agents.
• Preparing reagents and samples.
• Familiarity with Good Laboratory Practice (GLP).
• Decontamination of workspaces, including Biological Safety Cabinets (BSCs), hoods/air boxes, equipment, and other items associated with processing and analysis activities.
• Maintaining chain-of-custody (CoC).
• Interpretation of results.
• Data entry utilizing computerized or computer-linked systems.
• Performing routine equipment calibration, cleaning, assembly, and maintenance.
• Collecting, processing, and analyzing internal laboratory swipes/swabs for Quality Assurance/Quality Control (QA/QC) and contamination monitoring.
• Proper disposal of biohazardous waste.
• Restocking and maintaining proper inventory of necessary supplies.
• Supporting BW Program logistics in conducting and documenting annual inventory of DHS-procured durable equipment and property.
• QA/QC and acceptance testing of reagents in accordance with applicable Standard Operating Procedures (SOPs) and the Laboratory Operations Quality Assurance Program Plan (QAPP).
• Adhering to QA/QC requirements in accordance with the Public Health Laboratory quality management systems and the QAPP.
• Maintaining documentation of records demonstrating compliance with applicable training/retraining, competencies, and document reviews.
• Analyzing routine external QA samples in accordance with the BW SOP’s and QA Program guidance.
• Proper archiving, storage, and shipping of samples.
• Follow and adhere to written procedures and accepted practices in accordance with federal, state, and local regulations, safety, security and dress code policies, procedures, and guidelines, including DHS Safeguarding Sensitive but Unclassified (For Official Use Only) Information (January 2005) when visiting or working at Government facilities.
• Preparing written and oral technical reports, answering questions, and making recommendations to the Lead Biological Scientist for inclusion in comprehensive reports.
• Accurately performing work with confidence.
• Demonstrate competency in various testing methodologies (e.g., multi-center studies), evaluate potential products and processes against unique environmental backgrounds, and meet established deadlines.
• Must be present for all hours of the workday and be available 24/7/365 to respond in case of emergency. Rotating weekends and some holidays are required.

QUALIFICATIONS: 

Master’s degree or Ph.D. from an accredited university in microbiology, molecular biology or related course work in biological sciences, and REQUIRES at least one (1) year of laboratory bench experience utilizing polymerase chain reaction (PCR), aseptic techniques and biological assays, and at least one (1) year of experience serving as a Senior Scientist or Team Leader of a laboratory team/project.  

OR

Bachelor’s degree from an accredited university requires four (4) years of laboratory bench experience to include 4 (4) years of utilizing polymerase chain reaction (PCR), aseptic techniques and biological assays, including at least one year of experience as a Team Leader/Senior Scientist. Laboratory training that is assigned or accompanies an associated course is not considered applicable training. 

This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application.

#LI-OnSite

Empower, Innovate, Impact!  At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients’ needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

This position will be responsible for performing non-research molecular testing of samples for potentially containing biological threat agents. Ensures incoming operational, QA, and other sample types are processed while maintaining chain of custody. Prepares reports, answers questions, troubleshoots, and makes recommendations to the supervisor for inclusion in comprehensive reports. Maintains and operates equipment properly and in a safe manner, including performing routine calibrations and adjustments. Performs all procedures in accordance with proper handling and storage of various materials. Additionally, will be responsible for maintaining knowledge and skills related to position and program. Laboratory operations are 7 days a week. Team members take turns with weekends and holidays to ensure results are reported each day. In the event of a public health emergency, extended work hours and alternative shift work may be required to maintain temporary emergency 24/7 operations. Kindly be aware that a pre-employment drug screening is a requirement.

REQUIRED QUALIFICATIONS:

Bachelor's degree from an accredited university in microbiology, molecular biology, or related course work in biological sciences.

REQUIRES at least one year of laboratory bench experience, utilizing PCR, aseptic techniques and experience with biological assays. Laboratory training that is assigned or accompanies an associated course is not considered applicable training

This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application. 

The role

At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week.

Our operation planning team, located in Berlin and New York, is critical to what we do. From operation and supply chain optimization to forecasting, we work on challenging problems and have a high output of building and releasing features and engines that make our business thrive and deliver real financial impact.

As an Applied Scientist in Operations Researcher (OR), you will work together with a global, cross-functional team that is transforming supply chain management, from menu planning and procurement to production and logistics. In this role, you will play a vital part in enhancing and expanding our algorithmic planning capabilities. Your contributions will directly impact the efficiency and performance of our business operations.

What you’ll do

• Design, implement and evolve optimization models and decision-support tools for high-impact planning problems in the supply chain (e.g. assortment/menu structure, capacity, sourcing, fulfillment and network trade-offs, priorities will follow business needs).
• Drive adoption of globally developed optimization capabilities: localize assumptions, validate outputs against operational reality and coordinate staged roll-outs with stakeholders and engineering.
• Partner with engineering to productionize solvers, services and workflows; ensure ownership, runbooks, and monitoring are clear after launch.
• Build and maintain data pipelines and, where useful, dashboards so inputs, outputs, and KPIs stay transparent and we can iterate with measurable feedback.
• Spot gaps early: translate messy reality into robust, data-backed formulations and pragmatic solutions that hold up at scale.
• Collaborate across product, engineering, data, and commercial teams; represent the US planning perspective in global OR discussions so shared roadmaps stay fit for purpose.
• Champion a shared, optimization-aware, data-driven way of planning — without losing sight of simplicity and trust from business users.

What you’ll bring

• Master’s or PhD in Operations Research, Mathematics, Industrial Engineering, Management Science, or a closely related field.
• Deep knowledge of mathematical optimization and core OR methods (e.g. mixed-integer programming, decomposition and sound use of heuristics where appropriate).
• Hands-on experience with industrial solvers such as Gurobi, CPLEX, or comparable (commercial or open-source).
• Senior-level track record: Either 5+ years of relevant professional experience applying OR/optimization in industry, or a PhD plus 3+ years of post-PhD applied work, demonstrating shipped models or tools and clear ownership of outcomes.
• Strong Python and SQL for modelling, experimentation, and working with large operational datasets; familiarity with BI tools (e.g. Tableau) is a plus.
• Excellent written and verbal communication; you can explain trade-offs, build trust, and align priorities across levels.
• Autonomy and judgment: you prioritise under ambiguity, run several meaningful threads in parallel, and keep quality high as scope grows.

You’ll get…

• Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities
• Generous PTO and flexible attendance policy 
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)   
• Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

Octus delivers breaking news and market-moving intelligence through cutting-edge data and technology for hedge funds, investment banks, and law firms- and we’re transforming how professionals access complex and opaque information. As part of our high-performing AI Innovation team, you’ll help design, build, and productionize modern GenAI and LLM-powered systems that support both client-facing features and internal operational efficiency. You’ll work end to end—from shaping ambiguous problems into scalable solutions to deploying reliable AI models in production - collaborating closely with product, engineering, and infrastructure teams. This is a hybrid role based in NYC (3 days in office per week). Curious about what we’re building? Check out our flagship GenAI product, CreditAI here and our AI framework here.

Responsibilities

• Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs.
• Design, build, and maintain AI-powered and data-driven systems with a focus on modern language and multimodal models, including LLM-driven applications, RAG pipelines, and agentic workflows.
• Evaluate and productionize commercial and open-source LLMs, choosing appropriate models, tools, and techniques for each use case. Develop multi-step agentic workflows that incorporate tools, external data sources, memory, and control logic.
• Manage the orchestration of production LLM workflows and agentic systems, ensuring reliability and efficiency through prompt routing, state management, retries, fallbacks, and error handling. Design, test, and iteratively refine prompts and system instructions using prompt engineering and tuning techniques to improve model reliability, accuracy, and task performance.
• Maintain production-grade code and services with automated monitoring and performance tracking, using metrics and alerts to guide continuous improvements in models, prompts, and pipelines.
• Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies.
• Define and implement evaluation and observability frameworks for AI systems, including automated testing, task-specific benchmarks, regression testing for prompts, human-in-the-loop validation, and performance monitoring.
• Build and integrate AI models into backend systems and APIs to support both real-time and batch inference, ensuring solutions are production-ready, scalable, and efficient.
• Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval, text classification, summarization, and reasoning over text and documents.
• Collaborate closely with engineering and infrastructure teams to deploy solutions using containerized and cloud-based environments (e.g., GitHub, Docker, AWS), applying modern deployment and infrastructure practices.
• Collaborate with product managers, business stakeholders, and domain experts to translate complex, ambiguous business problems into actionable technical solutions, and communicate progress, trade-offs, and outcomes to relevant stakeholders.
• Continuously learn and adapt to advancements in NLP and Generative AI to ensure solutions remain innovative and effective.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of experience as a Data Scientist, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science, algorithms, and software development. 
• Advanced programming skills in Python, with experience building production-grade systems beyond research or experimentation.
• Solid understanding of machine learning and applied AI concepts, with experience taking solutions from prototype to production.
• Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including familiarity with vector databases, embeddings pipelines, or semantic search systems.
• Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, caching strategies, and cost-aware design.
• Strong problem-solving skills and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, cost, and operational complexity.
• Ability to interpret and implement research ideas and algorithms, actively contributing to research and development initiatives while translating them into production solutions.
• Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions.
• Passion for learning and staying current with the rapidly evolving AI/ML landscape, including emerging best practices for GenAI applications.
• Strong ownership and initiative, with the ability to independently drive projects from problem definition to delivery, while being a team player and contributing to the overall success of the data science team.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $130,000-$145,000.

The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for a performance-based annual bonus.

The People Science & Analytics team at Roblox partners with our People, Places, & Systems organization to apply data science, applied statistics, and  analytics to our internal operations. We deliver insights and solutions that shape Roblox's approach to leadership, people development, and organizational culture. As a Data Scientist in the People Analytics pod, you will join this team to solve complex challenges using qualitative and quantitative data, driving strategic decisions across the company. We are responsible for developing and managing Roblox’s HR data warehouse, analytical tools, and reports which support  data-driven HR initiatives and are used by internal stakeholders throughout the company.

You will:

• Serve as an analytics consultant to key partners in HR, Talent Acquisition, and Finance where you will apply your expertise in data science, applied statistics and analytics engineering to build tooling and identify insights that drive strategic and operational improvement - domains located below.
• Conduct end-to-end analyses on large, complex datasets to diagnose operational challenges, tell a compelling story, and provide actionable recommendations to executive leadership.
• Design, build, and maintain data products and automated workflows that scale our team's analytical offerings and support our partners' long-term needs.
• Uphold a high standard for data integrity and analytical rigor, working through ambiguity to produce clear, defensible insights.

You have:

• A MBA / Master's degree, PhD, or equivalent experience in Data Science Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
• 4+ years of professional experience with SQL.
• 4+ years of statistical programming in R/Python and/or analytics engineering experience in Python
• 4+ years of professional experience with BI Tools (Tableau, Looker, Hex, etc.)
• Proven ability to execute complex and cross functional projects from ideation through completion.
• Strong interpersonal skills and the ability to work through ambiguity to delivery on projects that have driven organizational change.
• Proven ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
• Highly self-driven and intellectually curious with a growth mindset focused on maximizing organizational impact.
• A consistent track record to learn quickly and works well both independently as well as in a team setting.

At least two or more of the following:

• 2+ years of experience with enterprise HR/People data systems (e.g., Greenhouse, Workday, Qualtrics) and/or experience working with non-technical operations teams.
• 2+ years of experience in causal inference, experimental design, and statistical modeling. 
• 2+ years of experience with data orchestration and transformation tools (e.g., Airflow, dbt) and deploying data pipelines.

People Analytics Domains at Roblox

• Talent Acquisition
• Employee Performance Programs
• Workforce Planning
• People Data Governance
• Facilities and Office Planning
• HR Operations
• Partnering with Internal Tooling to build people products
• Building our People Datalake

THE ROLE

Despite the "Engineer" title, this isn't a typical back-end coding job. This is a pre-sales and architectural advisory role for someone who is part scientist, part consultant, and part communicator. At the Staff / Principal level, you are expected to be a hybrid heavy hitter — someone who can talk shop with PhD data scientists and then walk into a boardroom and explain the ROI to a CEO.

We aren't looking for your average expert. We're building a team of T-shaped professionals with:

• Deep Technical Roots — You know PyTorch, Kubernetes, and GPU clusters (NVIDIA/AMD) inside and out, and you know when XGBoost is a better choice than the latest frontier model.
• Broad Business Acumen — You understand verticals, e.g. how a hospital's AI needs differ from a hedge fund's, and can navigate both conversations with credibility.
• Collaborative Autonomy — With a global remit and potential for 30-60% travel, you are in charge of driving results within diverse collaborations.

We're building a small, global Applied AI team to work directly with enterprise customers and partners — helping them turn AI ambitions into production outcomes on Pure's platform. This team brings genuine research and production depth to customer-facing engagements: leading technical advisory sessions, shaping AI strategy for some of the world's largest companies, and contributing to Pure's growing reputation in AI through publications, conferences, and thought leadership.

The team also ensures Pure's account teams can effectively qualify and position AI advisory opportunities across their territories, and provides enablement to our internal field and channel partner communities. The role requires working cross-functionally across Solutions, Marketing, Alliances, Engineering, Enablement, and Sales to align initiatives and go-to-market campaigns — all while maintaining genuine technical depth in enterprise AI.

If this sounds like you, come join one of the most exciting teams at Pure.

WHAT YOU'LL DO:

• Lead technical discovery and advisory engagements with customers to identify high-value AI use cases relevant to their industry and data
• Advise on end-to-end AI deployment — model selection, training/fine-tuning strategies, inference optimization, data pipeline design, and evaluation/alignment/safety frameworks — optimized for Pure's platform
• Collaborate cross-functionally to qualify and position AI opportunities, and develop proof-of-value prototypes that translate technical performance into business outcomes
• Create AI enablement content for field teams, partners, and customers — technical walkthroughs, qualification guides, workshops, and vertical-specific use case frameworks
• Present at industry conferences, publish technical content and peer-reviewed research, and represent Pure in engagements with strategic technology partners (NVIDIA, AMD, cloud providers, MSPs)
• Operate autonomously in ambiguous environments — independently scoping high-impact initiatives and driving them to completion at the right pace

WHAT YOU BRING:

• Advanced degree in a quantitative field (Computer Science, Physics, Mathematics, Engineering, or related), or equivalent demonstrated through publications and production system experience
• 8+ years building and deploying AI/ML systems in cloud or on-prem environments
• Deep expertise in modern AI/ML — large language models, distributed training, inference optimization, agentic systems, evaluation/alignment frameworks, and classical ML
• Fluency with the modern AI stack (PyTorch, vLLM, Ray, Kubernetes) and data platforms (Spark, Snowflake, Kafka, etc.)
• Able to scope and carry out research projects that support critical business objectives, both independently and collaboratively
• Excellent written, verbal, and presentation skills — equally clear with hands-on data scientists and C-suite decision-makers

WHAT SETS YOU APART:

• Experience with large-scale AI infrastructure: GPU clusters, high-performance storage, containerized deployments
• Experience in customer-facing technical advisory or consulting roles with enterprise accounts
• Experience leading independent, multi-year research from concept to publication or large-scale production deployment
• Exposure to multiple industry verticals (financial services, healthcare, telco, manufacturing)
• Publication record, conference presentations, or recognized technical presence
• Background combining applied research with shipping production systems
• Familiarity with CRM/opportunity management systems (Salesforce preferred)

#LI-REMOTE

#LI-JL4

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers.

Roblox is used by tens of millions of people every day, across almost all devices (mobile, desktop, console, VR, etc.). Our users expect top-notch app performance: lightning-quick launches, buttery smooth animations, and rock-solid stability.  As a Data Scientist on the team, you will partner with engineers, product managers, and leaders across the company in our efforts to create the best app experience on any device for Roblox. This area is pivotal to our company’s success, directly impacting all users and being one of Roblox's highest priorities. You will define KPIs and measure the impact of key performance improvements while leveraging statistics, analytics, and experiments to influence decisions and strategies related to enhancing the performance and reliability of the Roblox app. 

You Will:

• Define and measure success metrics for App performance. Determine which performance metrics matter to end users and how app performance impacts user engagement and monetization.
• Establish an understanding of the trade-offs between different performance levers and use these insights to influence strategies, ensuring right-sized investments that optimize business growth and user experience.
• Access raw data, transform it, analyze it, and present it in a compelling and understandable way. Perform deep dives to uncover new insights and opportunities.
• Operationalize and scale metrics monitoring by building tools that enable quick slicing and dicing of data as well as root cause analysis. Collaborate with engineers to detect and investigate abnormal trends, identifying opportunities for improvement.
• Use A/B experiments and causal inference methods to evaluate the success of feature launches.
• Navigate ambiguity and work with stakeholders across various organizations, including User, Growth, Engine, and Creator teams.

You Have:

• An advanced degree or equivalent experience in Statistics, Applied Math, Physics, Engineering, Computer Science, Economics, or a related quantitative field.
• 5+ years of industry experience in a data science role, preferably with a background in app and system performance.
• Strong experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools.
• Deep knowledge and practical application of statistical methods, causal inference techniques, and experimental design.
• Ability to drive an area as an individual contributor and thought leader.
• Ability to apply creative, first-principles reasoning to solve ambiguous problems.
• Strong communication skills to present analytics results and data storytelling effectively, influencing engineering teams and leaders.

You Are:

• Passionate about data. You have the curiosity and self-drive to continuously learn new techniques and tools to extract value from data. 
• Highly self-driven. You thrive with freedom and autonomy and are excited by the ambiguity that comes from exploring a new problem space. 
• A strong communicator. You understand that analysis must be presented in meaningful ways and engage in spirited discussions about the findings. You can explain technical concepts to a non-technical audience.
• A capable statistician. You understand the value of characterizing data by its distribution. Covariance, Bias, and Conditional Probability are concepts that you rely on every day.
• An expert transforming data with SQL and a scripting language such as Python or R. You’re experienced in automating efforts and crunching massive volumes of data.
• Experienced in developing models to draw insights from data. You use regression, data mining, and other statistical techniques to create new, scalable solutions to solve challenging business problems. You understand when to apply the appropriate methodology to maximize impact pragmatically.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.

WHY GENERATIVE AI?

Our team’s mission is twofold: to enable Roblox Creators to bring GenAI capabilities to millions of users, and to empower Roblox Creators and our own engineers with AI-backed tools to deliver value faster. We drive this innovation with a core commitment to safety, responsibility, and quality.

As a Senior Data Scientist, you will play a critical role in a key area within our Foundation AI team:

• Engineering Efficiency and Code Intelligence: Building the metrics, analytics, experimentation foundation, and AI workflow that powers how Roblox engineers and creators build and ship with AI and intelligent code systems.

Whether you are focused on the end-user experience or the developer ecosystem, you will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements.

You Will:

• Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D) or internal AI Agents (Code Review, Refactor, Test Gen). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods.
• Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features or AI-assisted coding tools. You will identify opportunities, measure lift, and ensure statistical rigor.
• Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators—whether for GenAI safety and user satisfaction, or for engineering productivity and code health.
• Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling and agentic workflows that lift rigor and efficiency across the company.
• Drive Strategy & Visibility: Develop dashboards and reporting frameworks that reveal trends (e.g., model performance or developer friction) and translate complex data into clear, prioritized recommendations for leadership.

You Have:

• Advanced Degree: PhD or Master’s in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field.
• Experience: 5+ years of experience in data science, analytics, or a quantitative role.
• Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling.
• Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact.
• Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact.
• Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field.
• GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation).
• Engineering Development Workflow: Experience with engineering development workflows and engineering efficiency data is a plus for the Engineering Efficiency and Code Intelligence role.
• Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization’s mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and creators.

WHY CREATOR SERVICES?

At Roblox, the Creator Services team enables unbounded creation through reliable core services and novel AI applications. As a Senior Data Scientist focused on Machine Intelligence, you will bridge the gap between high-tier engineering infrastructure and cutting-edge ML applications. You will be the primary strategic partner to product and engineering leadership, transforming unstructured data into actionable business insights and user-facing products.

This is a "zero-to-one" environment. You will be tasked with creating standards for entirely new data formats and building the analytical frameworks that define how machine learning drives creator success and platform sustainability.

You Will: 

• Lead ML-Driven Transformation: Act as the lead data partner to engineering and product leadership, shaping roadmaps for ML products by translating technical approaches into interpretable, movable metrics.
• Model Unstructured Data: Develop sophisticated ML models for unstructured data—including text, images, and video—to improve product measurement and external user experiences.
• Own data workflows end-to-end: Drive work from ideation through data collection, pipeline development, and modeling, to produce outputs that inform leadership decisionmaking.
• Design Causal Frameworks: Design complex experiments to quantify the impact of foundational service updates and AI-driven features on the broader Roblox ecosystem.
• Translate Technical Wins into Business Value: Bridge the gap between deep-tier engineering metrics and high-level business impact. Own the narrative that helps stakeholders understand how service improvement drives creator success and platform sustainability.

You Have:

• Advanced Academic Background: A BS, MSc, or PhD in Computer Science, Statistics, Applied Math, or a related quantitative field.
• ML Expertise: Proven experience in ML modeling on unstructured data (text, images, video) and the ability to turn these models into useful data products.
• Strategic Influence: A demonstrated ability to influence senior leaders through clear narratives and decision memos on complex technical topics.
• Comfort with Ambiguity: Experience in environments where no standard data formats exist
• NLP Knowledge: Familiarity with measuring translation quality and assessing feedback loops.
• Technical Mastery: Expert-level knowledge of statistics, A/B testing, and causal inference in complex, mediated settings
• Engineering Fluency: The ability to grasp complex system architectures, data flows, and high-throughput schemas.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY DISCOVERY EXPERIENCES? 

Roblox is not just a platform; it is a complex, two-sided marketplace where millions of creators meet over 70 million daily active users. The Discovery Experiences team is the technical heartbeat of this ecosystem. We own the surfaces—Home, Search, Matchmaking, and Notifications—that determine how users navigate the metaverse.

As a Principal Data Scientist, you will own the ranking initiatives that power these canvases. You aren't just building models; you are building the economic and social frameworks that decide which experiences thrive. You will report directly to the Senior Director of Data Science and serve as a high-visibility IC leader driving the roadmap for our most critical consumer touchpoints.

You Will:

• Algorithmic Vision: Lead the development of ML solutions and ranking frameworks that power our discovery canvases. You will move beyond local optimizations to solve for long-term ecosystem health and user retention.
• Strategic XFN Partnership: Act as the primary scientific advisor to Product and Engineering leaders. You will use data to inform, drive, and accelerate innovations via deep-dive insights and ML prototypes.
• Causal Inference & Experimentation: Leverage advanced causal inference methodologies to measure the effectiveness of platform initiatives (e.g., social features or site-wide events) that are often susceptible to complex network effects.
• Foundational Scaling: Develop frameworks to scale the hypothesis generation process, ensuring that our experimentation velocity matches our massive growth.
• First-Principles Problem Solving: Apply creative, first-principles reasoning to ambiguous problems, such as balancing the visibility of established "top tier" experiences with the discovery of new, niche UGC content.

You Have: 

• Advanced degree (Masters or PhD) in a quantitative field (Statistics, CS, Physics, Applied Math, or Economics).
• 10+ years of experience (or 6+ with a PhD) in Data Science, Economics, or ML Engineering, specifically within large-scale recommendation systems or UGC content platforms.
• Expert in the modern data stack (Python, R, SQL, Hive, Spark, Airflow) and have a deep theoretical and practical understanding of Deep Learning.
• Ability to design sophisticated experiments that account for the nuances of a two-sided marketplace and social network effects.
• Ability to distill high-dimensional problems into succinct, actionable narratives for non-technical executive audiences.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY CONTENT SAFETY?

Content safety and moderation are paramount to maintaining a positive, engaging, and trustworthy platform experience for our global community. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. Your focus will be on asset-based content across the platform - including games, avatars, and emerging in-game behaviors - by establishing reliable ground truth datasets and developing robust prevalence measurement methodologies. You will collaborate closely with Product, Engineering, Legal, Policy, and Compliance teams, acting as the quantitative expert who guides our defensive strategy against evolving safety threats and ensures accountability and scalable solutions. This is a critical opportunity to build innovative detection systems, define what we measure, and prove the impact of our safety efforts.

You Will:

• Establish and monitor robust prevalence measurement methodologies to accurately quantify the overall level of harmful content and behavior on the platform, providing the authoritative source of truth for organizational safety goals.
• Develop and validate comprehensive ground truth datasets for harmful UGC and violative on-platform behaviors, ensuring high quality and alignment with the latest platform policies.
• Deepen our understanding of violations by conducting exploratory analysis on current and emerging threat landscapes, providing data-backed recommendations on where Product and Engineering should strategically invest detection and moderation resources.
• Design, implement, and analyze sophisticated experiments for new moderation and safety enforcement features, communicating results to our primary partners in Product and Engineering to guide development, while also collaborating closely with Policy, Compliance, and Legal teams for full strategic alignment.
• Leverage advanced causal inference methodologies to accurately measure the effectiveness and potential systemic impacts of various safety initiatives on player experience and platform integrity.
• Communicate strategic insights and present recommendations to leadership and all cross-functional partners, translating complex statistical findings on prevalence, ground truth quality, and effectiveness into actionable strategies for Product, Engineering, Policy, Compliance, and Legal.
• Partner with ML and Data Engineering teams to ensure model development, reporting, and detection systems are built on statistically sound ground truth and measurement frameworks.

You Have:

• 10+ years of industry experience in data science, economics, analytics, or machine learning engineering
• 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
• Knowledge of ML and Deep Learning either via formal training or industry experience
• Ability to apply creative first-principles reasoning to solve ambiguous problems
• Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content
• Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of our business decisions and to empower and scale product innovations. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, economics, and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact / incrementality on our community of players, developers, and advertisers.

WHY ADVERTISING SCIENCE?

Advertising at Roblox is new, facing critical scale, effectiveness, and implementation challenges, while operating in our civility and user focused experiences. As a new strategic area, work will be innovative and impactful. Scientific rigor will be critical in success as we organize our data model, design principled measurement systems, and architect the future of incrementality measurement and actioning, to enable our communities.

In this role, you will contribute to the new Ads Science team within the broader Economy DSA team, collaborating with engineers and product managers to innovate our advertising systems and operations. Work will include data pipeline design and ownership, modeling for ad delivery and targeting, modeling for user segmentation / experimentation, and experimental design and analysis. We are early in this multi-year journey, and seek a dedicated and passionate scientist to help design this vision and execute the innovation to achieve it.

You Will:

• Design and lead offline model evaluation end-to-end (pipelines, frameworks, analysis).
• Contribute to ads ML feature and model improvements, collaborating with engineering to put these in production.
• Build offline evaluation and simulation models for our ads marketplace.
• Accelerate product development through your understanding of the underlying data and your ability to partner with product and technical leaders to provide insights.
• Lead experimental design and analysis for your ads domain.
• Design science roadmaps and experimentation agendas to determine success of product feature launches.

You Have:

• Domain experience in digital ads systems, including ownership of critical analytic or production pipelines.
• 4+ years of industry or academic experience in data science, economics, analytics, or machine learning engineering.
• Expertise in data transformation and programming, and proficiency in developing data pipelines through use of Spark, Hive, and Airflow.
• Experience with auctions and experimentation in market settings.
• Graduate education in a technical field (preferred: rigorous applied training including a graduate degree in economics, statistics, bioinformatics, cognitive science, physics, or similar).

You Are:

• Candid on relative opportunities for impact, and evidence-seeking to update beliefs.
• Passionate about Roblox’s mission to connect a billion people every day with optimism and civility, including through increasing earnings for our creator community.
• A strong communicator. You understand that analysis must be presented in meaningful ways and lead spirited discussions about the findings. You can explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
• Effective in a collaborative work environment with a track record of simplifying complex and ambiguous problems.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.

WHY GENERATIVE AI?

Our team’s mission is to enable Roblox Creators to bring GenAI capabilities to millions of users. We drive this innovation with a core commitment to safety, responsibility, and quality.

As a Data Scientist, you will play a critical role in evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D). You will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements.

You Will:

• Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods.
• Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features. You will identify opportunities, measure lift, and ensure statistical rigor.
• Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators for GenAI feature user satisfaction, business success, and safety.
• Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling that lift rigor and efficiency across the company.
• Conduct Applied Research at the Frontier: Maintain an active pulse on the intersection of Gen AI and Data Science. You will innovate on methodology and techniques to solve unique business challenges while contributing to the broader field in the technical community.

You Have:

• Possess or pursuing a PhD or equivalent in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field.
• Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling.
• Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact.
• Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact.
• Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field.
• GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation).
• Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued.

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY ALT DETECTION?

Our Alt Detection system at Roblox is a frontier challenge in large-scale identity modeling, managing a massive multi-partite graph that currently includes approximately tens of billions of nodes and hundreds of billions of edges. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve our alt detection systems. This is integrated deeply within various applications across the company. Within our Safety group, identity modeling is critical to mitigate alternate accounts used by adversarial actors to bypass our safety enforcements. Beyond safety, your work will be critical to systemic growth, used for core growth reporting and understanding true market penetration, in addition to establishing fair creator incentives. And more opportunities to expand this system across safety and non-safety use cases. This is an opportunity to build state-of-the-art detection systems that fuel our safety efforts while directly catalyzing our company’s most important growth levers. 

You Will: 

• Develop ground truth evaluation strategies by integrating diverse signals, ranging from "gold standard" manual labels to automated weak supervision frameworks.
• Calibrate score thresholds across applications, balancing high-precision enforcement needs with high-recall required for growth reporting
• Partner with MLE to identify and validate new behavioral, network, and biometric signals to expand detection coverage.
• Collaborate with Engineering to design modular systems capable of processing billions of candidate pairs and supporting high-concurrency graph traversals.
• Lead the cross-functional integration of identity models into Discovery, Ads, and Creator Success to eliminate fraud and improve the fidelity of platform metrics.
• Conduct strategic research to decode the incentives behind alt creation and develop sophisticated classification taxonomies to guide mitigation strategies.
• Communicate strategic insights and present recommendations to leadership and all cross-functional partners, translating complex statistical findings on prevalence, ground truth quality, and effectiveness into actionable strategies for Product, Engineering, Policy, Compliance, and Legal.
• Partner with ML and Data Engineering teams to ensure model development, reporting, and detection systems are built on statistically sound ground truth and measurement frameworks.

You Have:

• 8+ years of industry experience in data science, economics, analytics, or machine learning engineering
• 6+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
• Knowledge of ML and Deep Learning either via formal training or industry experience
• Ability to apply creative first-principles reasoning to solve ambiguous problems
• Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content
• Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.

WHY ECOSYSTEM AND LEARNING PLATFORM?

The mission of the Ecosystem and Learning Platform Data Science team is to empower vertical data science teams and drive data-informed decision-making at scale. We do so by collaborating with vertical data science and cross-functional partners to solve complex business problems that span multiple areas of the Roblox ecosystem, develop scalable data science solutions and tools, and advance data science methodologies. 

Central to our mission are platformized tools that provide comprehensive solutions for company-wide experimentation, forecasting and anomaly detection needs, integrate diverse data sources, and offer scalable, accessible data science products that yield actionable insights for product areas across Roblox. As a member of this team, you will collaborate with product data science partners to develop and support core data science and machine learning models, and build platform solutions that streamline the model development and deployment process. 

You will also collaborate with product data science and cross-functional partners to bring structure and innovative solutions to complex business problems. In the process, you will help build cutting-edge methodologies and tools that advance data science within our company and set industry standards. If you are a self-starter who is curious and passionate about leveraging big data to create tangible business value and thrive in a dynamic, collaborative, and innovative environment, this is the place for you.

You Will:

• Develop and support core data science models and production pipelines used across the business.  
• Support the development and operations of a centralized platform for time series forecasting and anomaly detection.   
• Collaborate with data science and product partners to develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify complex cause-and-effect relationships within the Roblox ecosystem. 
• Promote and uphold a high bar of technical excellence and enable the adoption of technical advances in data science. 
• Work closely with engineering and product partners to build scalable data science systems and tools. 
• Own the implementation and maintenance of DS self-serve tools and proactively identify opportunities to scale experimentation, causal modeling, and analytics insights through tooling and methodology. 
• Communicate effectively with technical and non-technical stakeholders to solve problems and influence decisions. 
• Cultivate strong partnerships with vertical data science teams, engineering, and product partners.

You Have:

• An Advanced Degree (MSc or PhD) in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
• 4+ years in developing and applying statistical methods, causal inference techniques, experiment design and analysis, time series modeling, or machine learning. 
• 4+ years of experience building scalable ETL data pipelines and dashboards. 
• 4+ years of experience in data science, machine learning, data engineering, analytics engineering or related fields. 
• 4+ years of experience in one or more scripting languages, such as Python.
• Demonstrated ability to lead or build project areas from scratch.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY ENGINE Systems?

Engine Systems team builds the foundational systems for networking, servers, asset loading, and data management, all working in harmony to deliver stable and engaging experiences.

This role will focus on the System foundation that provides low level technology to enable efficient development of Roblox itself and the games within it. We build profiling support, concurrency, memory management, scalability systems, and crash reporting. We manage the user experience in real-time and monitors device constraints (like a low-end phone vs. a high-end PC) and adjust graphics and performance on the fly.

You Will:

• Define Reliability & Stability Metrics – Work on system metrics telemetry logging and validation. Establish key performance indicators for Engine systems such as crash rates, runtime error codes, and quality metrics that directly impact creators and players. 
• Transform & Visualize Data for Actionable Insights – Access and process raw telemetry data, build robust analytics pipelines and deliver clear insights. Help develop solutions that allow the Engine to intelligently scale quality up or down, ensuring that every player—regardless of their hardware—has a smooth, interactive, and immersive experience.
• Design Experiments & Apply Causal Inference – Lead A/B experiments and causal analyses to identify performance opportunities, understand the trade-offs between system stability and other quality factors, measure improvements and feature launches to ensure data-driven decision-making. 
• Drive Cross-Functional Collaboration – Partner closely with Engineering, Product, Technical Program Managers, and teams across Roblox (e.g., Creator Analytics, Growth, Infrastructure, and Economy) to explore new opportunities and navigate ambiguous problem spaces.
• Shape the Future of Roblox’s Foundation – Influence how Engine systems evolve, help deliver a scalable, high-performance, and creator-empowering platform.

You Have:

• Advanced degree or equivalent experience in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis.
• 4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry, product quality optimization.
• Expertise in processing massive, noisy datasets (like crash logs or telemetry pings) and building scalable pipelines for reporting.
• Experience using first-principles reasoning to debug complex, ambiguous system failures that don't always have a clear cause.
• Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment.
• Direct experience with game engines or systems performance preferred
• Experience in game development or working on real-time interactive systems preferred
• A background or interest in memory management, or OS-level interactions preferred

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