Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Compensation:

The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.

Key Responsibilities

• Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
• Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
• Software Development & Productionization: Integrate research outputs into Verse’s cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
• Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.

What We're Looking For (Minimum Qualifications)

• Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
• Bachelor’s degree and 2+ years of energy sector experience
• Solid foundations in machine learning and statistical modeling
• Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
• Familiarity with wholesale electricity market fundamentals and renewable energy technologies
• Ability to communicate technical findings clearly to both technical and non-technical audiences

What Will Make You Standout (Preferred Qualifications)

• Direct experience with US or European wholesale electricity markets or utility tariff structures
• Experience with energy procurement, power purchase agreements, or risk management
• Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
• Foundational knowledge of mathematical optimization
• Experience shipping models to production in a commercial or research environment
• Experience developing probabilistic forecasting models and quantifying uncertainty
• A PhD in a relevant quantitative field.

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Principal, Product Strategy 

We are seeking a driven Individual Contributor (IC) to guide business and product strategy for Okta’s workforce product portfolio. This high-impact role demands exceptional depth in strategic thinking, advanced analytical rigor, and the ability to build and sustain trusted advisory relationships across the executive team. This role sits within Okta’s Product and Engineering organization (Okta R&D) reporting to the Head of Strategy & Analytics for Okta R&D, rolling up to the President of Products & Technology, the overall leader of the organization.

Job Duties / What This Role Entails

• Architect Strategic Vision: Collaborate with VP+ level stakeholders across Product Management, Product Marketing, Finance, Corporate Development, and GTM teams to architect and drive next-generation business strategies for the product portfolio. Critically, you will assess the disruptive potential and strategic implications of emerging AI technologies on the Identity Security market and Okta’s competitive positioning.
• End-to-End Strategy Ownership: Own the entire strategic lifecycle: from hypothesis development, rigorous market research and competitive intelligence, opportunity sizing, financial impact modeling, and formulation of high-impact, actionable recommendations, through to X-functional alignment at the executive level.
• Accelerate New Product Innovation: Jointly develop and execute granular, driver-based growth plans for new product innovation in partnership with Product, Product Marketing, and Sales leadership.
• Advanced Analytics and Insight Generation: Drive sophisticated, driver-based analysis, leveraging advanced quantitative methods to diagnose root causes of product performance variance and translate those findings into concrete, high-leverage strategic actions.
• Executive Influence: Deliver compelling, executive-ready presentations and expertly facilitate high-stakes discussions to secure alignment and drive critical strategic decisions with VP/SVP level functional leaders, leveraging data and strategic storytelling.
• Deep Subject Matter Expertise: Rapidly develop deep product-level and market-level subject matter expertise, becoming the go-to resource on the Identity Security landscape, the strategic shifts driven by AI, and the competitive threat vector.
• Advisory and Impact: Build and sustain deep, trusted advisory relationships with Okta’s product leadership to shape the long-term product roadmap.
• Scope and Growth: This is an individual contributor role.  It offers immediate opportunity to lead high-visibility strategic and operational initiatives across portfolio-wide planning and new product introductions.

Why this role?

• Deep exposure to product strategy development at a market leading high-growth SaaS company at the forefront of securing AI deployments in the enterprise.
• The high degree of autonomy to shape company strategy and drive impact.
• Strong executive sponsorship from Okta’s product leadership team to engage.
• Ability to take on broader responsibilities beyond strategy development over time.

Qualifications / Who You Are (Must Have)

• Minimum 7+ years of relevant work experience, with 2+ years post-MBA experience in high-impact strategy (product / corporate), top-tier management consulting, product management, growth, or investment banking roles.
• Demonstrable understanding of complex B2B SaaS business models and value drivers.
• Strategic AI Fluency: Demonstrated experience in leveraging AI tools and advanced analytics to inform strategic decision-making, with a strong, actionable perspective on the strategic implications of AI on B2B SaaS and Enterprise Security.
• Proven track record in building and sustaining trusted, executive-level advisory relationships (VP / SVP / President).
• Expertise in navigating complex, ambiguous data environments where clear data is scarce, translating complexity into clear, synthesized strategic narratives.

Qualifications / Who You Are (Good to Have)

• Experience in customer research via sophisticated quantitative and quantitative  methods.
• Deep understanding of the B2B Enterprise technology space, ideally within Enterprise Security and Identity & Access Management.
• Experience at top-tier consulting firms (McKinsey, Bain, BCG).
• An MBA from a leading program is strongly preferred.

Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid

#LI-LSS1

requisition ID-  P24637_3360590

Your Impact

We are looking for a forward thinking and highly motivated team player to join our Accounting Strategy and Financial Reporting team. You will lead accounting research and operational analysis with a primary focus on M&A, strategic equity and debt investments, new accounting and reporting standards, and other special projects. You will also have an opportunity to support the SEC reporting and earnings release process, including overseeing aspects of financial statement disclosures and involvement with reporting non-GAAP financial measures.

In this role, you will collaborate closely with our Strategy and Corporate Development team and, where applicable, strategically advise them on the accounting implications of unique transactions. Additionally, you will be involved in the development of clear, actionable accounting policies and informative trainings. You will also have an opportunity to present your research results and assessment findings and recommendations to senior leadership and key cross-functional stakeholders.

What You’ll Do

Work Location: This role is eligible to be based out of any of Axon's US hub offices (Atlanta/Peachtree Corners, Boston/Back Bay, NYC/Manhattan, Phoenix/Scottsdale, San Francisco/Presidio, Seattle/Downtown) and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Vice President of Financial Reporting and Strategic Investments

• Participate on cross-functional teams as a representative of the Finance organization in evaluating the accounting for potential M&A and investment areas and ad-hoc specific opportunities being considered by the Company.
• Create and review technical memoranda, accounting policies, training materials, and other documentation supported and corroborated by research, analysis and concise conclusions.
• Articulate issues and recommendations in a crisp and concise manner to both financial and non-financial stakeholders to enable better decision-making.
• Establish, maintain, and provide expertise on current and upcoming U.S. GAAP, including topics specific to M&A, private and public equity, debt instruments, consolidation, VIE and equity-method accounting, and the related presentation and disclosure requirements.
• Lead and/or contribute to relevant projects on behalf of the accounting team, such as acquisitions or other strategic investments and new accounting pronouncements.
• Work closely with other stakeholders to assist in the integration of acquisitions and strategic partnerships.
• Assist in the identification and resolution of key US GAAP and SEC reporting issues and formulation of findings into memos and disclosures.
• Assist in the preparation and tie out of Forms 8-K, 10-Q, and 10-K, external presentations and reports and peer disclosure benchmarking.
• Periodically assist in the review and advise key leaders on significant contract implications.
• Proactively monitor and operate a robust internal control environment in compliance with Sarbanes-Oxley or similar requirements.
• Collaborate with other departments to support company initiatives.

What You Bring

• Bachelor’s Degree in Accounting, Finance, Business, or similar field required.
• At least eight years of experience with a top-tier accounting (Big 4 strongly preferred) or strategy firm. National Office and/or transactional advisory experience preferred.
• CPA designation required.
• Strong technical knowledge of US GAAP (familiarity with ASC sections 805, 810, 815, 820, 606, 321, and 323 preferred) and SEC reporting requirements.
• Ability to research technical accounting matters and prepare well written memorandums and presentations articulating these matters to well versed accountants and non-finance stakeholders both internal and external to the organization.
• Sarbanes-Oxley Act (SOX) experience and the ability to implement business processes required to ensure compliance with its tenets.
• Ability to leverage Artificial Intelligence tools (i.e. ChatGPT) to enhance productivity of yourself and the organization.
• Superb attention to detail, strong planning and organization skills, and the ability to multi-task, prioritize and deliver in a fast-paced, dynamic environment.
• Professional and driven “can-do” attitude.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to deepen our understanding of the biology that controls human aging. Calico aims to use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description: 

We are seeking a highly motivated and creative Scientist/Senior Scientist, Aging Biology to join our Translational Medicine team. This role is pivotal in elucidating the mechanism of action (MOA) of therapeutic targets within our aging biology pipeline. The successful candidate will be responsible for defining the molecular and cellular pathways that are fundamental to the program's biology. This role is critical for translating novel in vivo findings into a deep mechanistic understanding to guide its path toward clinical development. The ideal candidate will bring deep expertise in cell biology, MOA studies, and complex signaling pathways to this challenge.

Responsibilities:

• Independently design and lead experimental strategies to elucidate the molecular and cellular mechanisms of action for aging targets and biomarkers, generating insights that guide program direction
• Conduct in vitro and ex vivo studies to investigate target biology in key aging-related processes, including stem cell function, tissue repair, and signaling or transcriptional regulation
• Compare acute and chronic pathway modulation in tissue injury and aging models to understand how stress responses and repair mechanisms evolve with age
• Investigate the molecular drivers of in vivo phenotypes in preclinical aging models to identify biomarkers and translatable mechanisms relevant to clinical development
• Collaborate with in vivo pharmacology and biomarker teams to select and leverage preclinical models that best probe target biology
• Partner with cross-functional groups (e.g., Biomarkers, Genomics, Protein Sciences) to integrate multi-omic datasets and build a comprehensive mechanistic framework
• Analyze, interpret, and present complex data and strategic recommendations to internal project teams and senior leadership
• Maintain rigorous experimental documentation and contribute to internal reports, publications, and regulatory submissions

Position Requirements:

• Ph.D. in Cell Biology, Molecular Biology, Physiology, or a related field, with 2-5 years (for Scientist level) or 5+ years (for Senior Scientist level) of relevant industry or post-doctoral experience
• Demonstrated expertise in designing and executing complex experiments to elucidate mechanisms of action in age-related disease models
• Strong hands-on experience with a range of cellular and molecular biology techniques (e.g., primary cell culture, flow cytometry, single-cell RNAseq, qPCR, Western blot, ELISA, functional assays)
• Proven ability to think critically and solve complex biological problems
• Strong data analysis skills and proficiency with Prism or similar software
• Exceptional organizational skills and meticulous attention to detail, with a proven ability to manage complex projects
• Strong teamwork and communication skills, with an ability to collaborate effectively in a cross-functional environment
• Flexible, able to respond quickly to shifting priorities and to multitask
• Must be willing to work onsite five days per week

Nice to Have:

• Working knowledge of formulation approaches for various routes of administration, including intravenous (IV), subcutaneous (SC), intraperitoneal (IP), and oral
• Familiarity with in vivo models of metabolic or fibrotic disease
• Expertise in mesenchymal or hematopoietic stem cell biology, fibrosis, or tissue repair
• Experience with R or Python for data integration and visualization
• Background in growth factor signaling, extracellular matrix biology, or proteomics

The estimated base salary range for this role is $156,000 - $191,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Data Science Internship — Multiple Teams

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems — spanning search, personalization, recommendation, and ranking — that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12–14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Teams

Search & Recommendation

• Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
• Develop rich user and item representations through embeddings, sequence models, and graph-based methods
• Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
• Apply exploration–exploitation strategies — including contextual bandits and reinforcement learning — to optimize recommendations under uncertainty
• Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
• Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

Fulfillment

• Develop ML models that predict product demand for brands leveraging Faire's fulfillment services, informing replenishment decisions, reducing stockouts, and improving inventory reliability across the platform
• Apply machine learning and optimization techniques to enhance the efficiency of Faire's fulfillment operations, including inventory placement, order packing logic, and operational workflow improvements
• Collaborate with the Discovery team and internal stakeholders to optimize surfaces that promote fulfillment products to retailers, driving discoverability and supporting the growth of Faire's fulfillment offering

Risk Management

• Build and refine models and heuristics across core risk domains — including underwriting, identity verification, returns, markdowns, and disputes & misuse — to reduce financial losses and unlock GMV growth
• Partner cross-functionally to develop scalable, data-driven frameworks that balance risk exposure with business opportunity

What You'll Do

• Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
• Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
• Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

• Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
• Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
• Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
• Experience working with large-scale or production datasets

Fulfillment

• Experience with Python; familiarity with Java, Kotlin, or C++ is a plus
• Production-level experience building and deploying ML systems
• Working knowledge of statistical methods, including experimentation and causal inference
• Experience with SQL or other query languages preferred
• Genuine enthusiasm for tackling ambiguous problems and learning new tools and techniques

Risk Management

• Solid ML fundamentals with hands-on experience productionizing models using frameworks such as scikit-learn, XGBoost, or deep learning libraries
• Experience with Python; familiarity with Java, Kotlin, or C++ is a plus
• Knowledge of statistical techniques including experimentation and causal inference
• Experience with SQL or other database querying languages preferred

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

#LI-DNI

About the Team

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. Throughout the company's history, the Client Experience Algorithms Organization has been a key source of our innovation and competitive differentiation. We build the tools that power personal style, combining best-in-class models with expert human judgment. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work, from research to model deployment. You’ll use multidisciplinary tools to solve complex problems in a data-rich environment, directly influencing how millions of clients discover what they love.

The Recommendation Algorithms team is building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market 

About the Role

This role will lead the development of our outfit completion models. These models combine client preferences, stylist expertise, and machine learning to inspire and guide client discovery through personalized and cohesive outfits.

A key area of focus is improving the quality and relevance of generated outfits across dimensions such as cohesiveness, diversity, and contextual awareness (e.g., occasion, seasonality, and trendiness). This role will also drive innovation in how these models are trained, evaluated, and served in real-time, ensuring a seamless and engaging client experience.

You're excited about this opportunity because you will…

• Lead the technical direction and development of our outfit completion models, a critical component of the Stitch Fix client experience
• Drive end-to-end model development, from problem formulation and research to production deployment and iteration
• Design and implement state-of-the-art machine learning models (including deep learning approaches in PyTorch) to model relationships between items and generate high-quality outfits
• Mentor and guide other data scientists on the team, raising the bar for modeling, experimentation, and engineering excellence
• Own and evolve experimentation strategies, defining success metrics and translating results into clear business impact
• Partner cross-functionally with Product, Engineering, and Design to shape the roadmap for outfit-based experiences across StitchFix.com
• Tackle ambiguous, high-impact problems and bring structure, clarity, and technical leadership to drive solutions forward
• Leverage rich, multi-modal datasets spanning client behavior, merchandise attributes, and stylist inputs to power innovative recommendations

We’re excited about you because…

• You have 5+ years of experience building and deploying machine learning models, including deep learning models in frameworks such as PyTorch
• You have strong experience with recommendation systems, ranking, or related domains (e.g., retrieval, embeddings, or generative modeling)
• You have demonstrated technical leadership, including mentoring other ICs, leading projects, or setting modeling direction
• You are comfortable owning ambiguous problem spaces and driving projects from concept to production
• You have deep experience with experimentation and causal inference, and can connect model improvements to business outcomes
• You are fluent in SQL and experienced working with large-scale datasets
• You are proficient in Python and have experience building production-ready data science systems
• You are an effective communicator who can influence cross-functional partners and align teams around a shared vision
• You are curious, pragmatic, and motivated to continuously raise the bar for both yourself and your team

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology. We are seeking strong hands on machine learning background including content modeling, signal lifecycle, and platforms used to enforce signal use with downstream use cases.

You’ll be working with other leads to set and execute a long-term strategy for the team, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class capabilities. You'll also foster a healthy community where all Content Quality engineers can learn best practices, collaborate effectively and understand our technical direction. 

What you’ll do:

• Architect and develop a roadmap and processes for building and delivering signals capturing quality and trust aspects of content at Pinterest.
• Drive safety of GenAI and Conversational use cases including safety alignment and VLMs.
• Work with downstream teams to align on use cases, evaluate signal impact, and drive adoption of signals in models, ranking systems, and decision-making workflows.
• Partner closely with ML engineers to translate ideas into production-ready signals, from problem formulation and feature design to validation and deployment.

What we’re looking for:

• Experience driving technical strategy at an organizational level.
• Expertise in content modeling at consumer internet scale.
• Using GenAI for scaling ML development.
• Strong ability to work cross-functionally and with partner engineering teams.
• Experience working with multiple stakeholders.
• Strong measurement and scalability experience.
• Strong ML knowledge and expertise.
• Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus.
• Machine Learning at scale deployment experience (note this is different from having ML theoretical knowledge, which is a nice to have).
• Thought Leadership: Publication and/or conference speaking experience is a plus.
• Nice to have: 
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID

#LI-AK7

The role:

As Braveheart Bio advances its lead small molecule program toward late-stage development, the Head of CMC will serve as a key technical and operational leader, responsible for all Chemistry, Manufacturing, and Controls (CMC) activities across development and supply.

Reporting to the executive team, this individual will lead drug substance and drug product process development, manufacturing strategy, and external supply chain execution, while partnering closely with internal cross-functional teams and a network of global CDMOs and CROs. The Head of CMC will play a critical role in ensuring regulatory readiness, technical excellence, and scalable, compliant manufacturing to support clinical development and eventual commercialization. A central focus of the role will be driving commercial readiness and supporting a successful global launch, including process validation, scale-up to commercial volumes, qualification of a robust commercial supply network, and delivery of the launch CMC package to support NDA/MAA approval and market entry.

Key responsibilities:

• Direct all aspects (DS/DP) of process development and supply chain operational activities for the company’s programs; work closely with external CROs/CDMOs, collaborators, and/or partners to rapidly advance programs to key decision points.
• Develop and direct strategies for upstream and downstream process development, analytical development, and formulation development (including management of associated external CDMOs/CROs).
• Author and review technical sections for company’s global regulatory submissions (INDs, CTAs, IMPDs, NDAs, MAAs, meeting requests, briefing documents, responses to health authority questions, etc.) related to assigned programs.
• Collaborate with team members to efficiently evaluate, select, and manage contract service providers (CDMOs and CROs), including technology transfer, process scale-up, design of validation strategies, packaging development, and technical expertise with regards to routine/non-routine development and cGMP activities (e.g., deviations/investigations, process improvements, change controls, CAPAs, etc.).
• Lead end-to-end commercial CMC readiness, including process performance qualification (PPQ), process validation, analytical method validation, and stability programs required to support NDA/MAA filings and global launch.
• Build and qualify the commercial supply network, including launch and post-launch demand planning, inspection readiness for pre-approval inspections (PAI), serialization and packaging strategy, and partnership with Commercial, Quality, and Regulatory to ensure on-time product availability across launch markets.
• Oversee the development and maintenance of the budget for assigned program activities, including the preparation of cost estimates for new work.
• Develop and/or provide technical review of development documents (batch records, experimental data, protocols, reports, analytical methods, SOPs, etc.).
• Play a leadership role in the creation, maintenance, improvement, and compliance with quality system.
• Contribute to the generation and protection of company intellectual property.
• Lead, develop, and mentor direct reports.
• Demonstrate success in a dynamic, interactive, fast-paced, and entrepreneurial environment.

Required experience & skills:

• Ph.D. (or equivalent) in Biochemistry, Pharmaceutical Sciences, Chemical Engineering, or a closely related field; exceptionally strong master’s candidates will be considered
• Fifteen-plus years’ experience in the pharmaceutical or biotech industry, with five-plus years’ demonstrated leadership in small molecule process development
• Experience with global pharmaceutical/biotech development and manufacturing operations for development-stage small molecule assets, including upstream/downstream process development, formulation development, analytical development, and device development
• Leadership experience in managing diverse project activities with contract CDMO facilities
• Direct experience with successful registrations and commercial launch of novel assets
• Hands-on experience leading commercial readiness activities, including PPQ, process and analytical method validation, pre-approval inspection (PAI) readiness, and qualification of commercial-scale supply for global launch
• Experience with clinical supply management, process scale-up and technology transfer, cGMPs, and ICH guidelines, as well as the CMC content of global regulatory submissions
• Experience with small molecule development programs, from early stage through commercial
• Knowledge of cGMP regulations
• Hands-on, roll-up-your-sleeves approach, with high sense of urgency and drive for results
• Demonstrated communication, problem-solving, and negotiation/decision-making skills
• Ability to think outside of the box and challenge the status quo
• Natural entrepreneurial spirit with unrelenting dedication to delivering results
• Desire to work in a fast-paced, innovative environment
• Natural collaborator who enjoys working on a cross-functional team
• Ability to travel 10-20%, domestic and/or international

Base Salary Range: $300K - $375K

Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains.

We are seeking a Principal or Senior Principal Scientist to join this team as a core contributor. You will define and drive research at the intersection of state-of-the-art machine learning and life science data, spanning biological sequences, molecular structures, and multimodal experimental data. As part of a dynamic team, you will design and implement foundational models end to end, from problem formulation and architecture through training at scale, evaluation, and integration into Lila's closed-loop discovery engine.

This is a high-impact IC role for someone who operates at the frontier of generative AI applied to biology. You will shape the technical agenda for foundation model research, collaborate closely with experimental scientists to close the computational-experimental loop, and represent Lila's work to the broader scientific community.

What You'll Be Building

• Drive research on foundation models for life science applications, including but not limited to biological sequence design, structure prediction, and multimodal scientific reasoning
• Design, train, and evaluate large-scale generative models on biological and chemical data, integrating domain-specific constraints and priors
• Contribute to the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: steer data generation strategy, build pipeline models, and design feedback loops where experimental results improve model performance
• Translate complex biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists
• Advance research standards and methodology within the foundation models program, contributing insights that influence approaches across adjacent teams
• Represent Lila's foundation model research externally through publications at premier venues, conference presentations, and community engagement

What You’ll Need to Succeed

• PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field
• Multiple high-impact first-author or senior-author publications at premier venues (NeurIPS, ICML, ICLR, Nature Methods, Nature Biotechnology, or equivalent)
• Deep expertise in large-scale generative model architectures and training, with hands-on experience training models on distributed infrastructure
• Demonstrated ability to formulate and drive research programs independently, from problem definition through publication and deployment
• Fluency across ML and at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related), with experience designing computational experiments grounded in biological reality
• Strong track record of cross-functional collaboration with experimental scientists, translating between ML and biology
• Expertise in ML frameworks (PyTorch, JAX, or TensorFlow) and experience with large-scale distributed training infrastructure (AWS, GCP, or on-prem clusters)

Bonus Points For

• Experience in computational protein design, particularly antibody and nanobody engineering
• Experience designing biological sequences or molecular structures with demonstrated wet-lab validation
• Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific applications
• Experience with agentic frameworks or active learning loops in scientific contexts
• High-impact publications or open‑source contributions in AI for Science in relevant venues (NeurIPS, ICML, ICLR, AAAAI, Nature Methods, Nature Biotechnology, or equivalent)

Your Impact at Lila

Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains.

We are seeking a Scientist I or II to join this team as a contributor to foundation model research at the intersection of machine learning and life science data. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila's closed-loop discovery engine.

This is an IC role for someone building deep expertise in generative AI applied to biology. You will own research sub-problems end to end, collaborate closely with experimental scientists to close the computational-experimental loop, and contribute to Lila's presence in the broader scientific community.

What You'll Be Building

• Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning
• Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors
• Be part of the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance
• Translate biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists
• Support research quality and methodology standards within the foundation models program

What You’ll Need to Succeed

• PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field (or Master's with equivalent research experience)
• Strong foundation in generative model architectures and training, with hands-on experience in model development and evaluation
• Ability to formulate and execute research independently, from problem definition through experimentation
• Familiarity with at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related)
• Experience collaborating with experimental scientists or working with biological/chemical data
• Proficiency in ML frameworks (PyTorch, JAX, or TensorFlow) and experience with GPU-based training workflows

Bonus Points For

• Experience in computational protein design or molecular structure prediction
• Experience with active learning loops or closed-loop experimental workflows
• Contributions to open-source ML tools, frameworks, or benchmark datasets for scientific applications
• Familiarity with distributed training infrastructure
• High-impact publications or open‑source contributions in AI for Science in relevant venues (NeurIPS, ICML, ICLR, AAAAI, Nature Methods, Nature Biotechnology, or equivalent)

We are seeking an experienced and highly motivated Senior Scientist for the Drug Product Development group who can work in a collaborative and dynamic environment. The scientist in this role is responsible for activities critical to the development of Alumis’ molecules including generation of pre-formulation packages, formulation selection, and manufacturing process development. This primary focus of this role will currently be on solid oral dosage form development but may involve the development of other dosage forms in the future.

Responsibilities

• Hands-on pre-clinical formulation development includes identifying vehicles, excipients, and/or new technologies for poorly water-soluble compounds in support of preclinical PKPD, efficacy, and tox studies.
• Execute and/or oversee pre-formulation activities including characterization of physicochemical and solid-state properties for investigational small molecules with hands-on instrumental analysis (HPLC/UPLC, DSC, XRPD) and method development.
• Work effectively with external CDMOs to develop early-stage drug products and oversee production of clinical trial material in support of clinical timelines.
• Experience in formulation development, process optimization for small molecule solid oral dosage forms including modified-release products includes execute/oversee formulation and manufacturing process development activities.
• Excellent oral and writing communication skills and flexibility to work in a fast-paced team environment by providing updates (oral and written) clearly and concisely.
• Support relevant CMC sections for key regulatory filings including INDs and NDAs. Experience in authoring technical reports and regulatory documents (e.g. IND/NDA) is a plus.
• Comfortable in a fast-paced small company environment. Proactively identify project risks and prepare mitigation and contingency plans.
• Willing to travel as needed to support ongoing development activities.

Education 

Ph.D. degree in Pharmaceutical Sciences, Chemistry, Engineering or related field with a minimum of 8 years or B.S. or M.S. with a minimum of 10+ years related industrial experience.

Alumis Values

• Elevate
• Challenge
• Nurture

This position is located in South San Francisco, CA with three (3) to five (5) days a week in lab.  We are not considering remote applicants.  

The salary range for this position is $139,000 USD to $169,000 US annually. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices.   

Alumis Inc. is an equal opportunity employer.

What You'll Do

You will be responsible for the oversight of drug product formulation and manufacturing process development and manufacturing at contract manufacturing organizations while facilitating clinical drug product disposition. You will also work with colleagues in CMC, Supply Chain Operations, Quality Assurance, and CMC-regulatory Affairs, while serving as an important point of technical contact between Calcilytix and contract research and manufacturing organizations.

Responsibilities

• Formulation composition and manufacturing process development (experience with modified/extended release is a plus)
• Person-in-plant oversight of the clinical and commercial drug product manufacturing process at CMOs (especially for small molecule solid oral dosage forms)
• Perform activities related to batch review & release, deviations, change controls, investigations and other quality related work
• Participate & provide input to root-cause analysis and CAPA plans
• Author/update regulatory filings

Where You'll Work

This is a hybrid role and requires in-office collaboration 2-3x per week in our San Francisco Office. Fully remote could be considered for the right candidate.

Who You Are

• BS degree in Life Sciences, Engineering, or related field required, advanced degrees preferred
• · Minimum of twelve (12) years of relevant experience within the pharmaceutical industry required
• · Solid understanding of CMC manufacturing and analytical activities required in commercial drug product manufacturing, including knowledge of cGMP regulations.
• · Experience with cGMP quality oversight and on floor production support required
• · Understanding of Quality Management Systems required
• · Prior experience as a liaison with solid oral dosage form contract manufacturing organizations required
• · Experience with polymer characterization (rheology, DSC, TGA), dissolution, extrusion/spraying operations, and enteric coating preferred
• · Ability to periodically travel (up to 30% at times)

#LI-NT1

About NewLimit

NewLimit is a biotechnology company working to radically extend human healthspan. We’re developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.

Position

NewLimit is seeking a Senior Scientist to drive our mRNA production and engineering efforts. This is a hands-on, lab based role focused on the synthesis, purification, and characterization of mRNA at large scales and high purities. You will serve as the technical lead for our production workflow, bridging the gap between molecular design and high quality material generation for in vivo and in vitro studies.

What you'll do

As a member of our team, you will:

• Execute and scale end-to-end mRNA production, including template preparation, in vitro transcription (IVT), and purification (TFF, chromatography).
• Implement rigorous quality control assays, including direct RNA sequencing, fragment analysis, dsRNA quantitation, and residual contaminant analysis.
• Author and maintain detailed SOPs and batch records, ensuring all production runs meet GLP standards.
• Independently design and execute experiments to improve mRNA sequence potency, specificity, and manufacturing performance.
• Train, manage, and mentor other team members on mRNA optimization and production workflows.

Requirements

• PhD in molecular biology, biochemistry, cell biology, or a related field or equivalent industry experience (5+ years).
• Deep hands-on experience with IVT and the specific challenges of scaling nucleic acid production.
• Proficiency with TFF and chromatography systems for the purification of large scale RNA batches.
• Ability to perform and interpret mRNA QC assays and troubleshoot mRNA production challenges.
• Strong experience in drafting technical reports and standardized protocols.

Nice to have

• Familiarity with Python or R for sequence analysis and secondary structure prediction.
• Understanding of how mRNA quality attributes impact Lipid Nanoparticle (LNP) formulation and delivery.
• Experience with complex plasmid design and bacterial scale-up for DNA template generation.
• Experience managing external contract manufacturing organizations (CMOs)

Benefits

NewLimit offers generous benefits to ensure our team can focus on our mission:

• Health, dental, and vision insurance
• 401(k) with company match
• Paid parental leave
• Industry-leading paid time off (PTO) — 20 days/year for all employees + holidays
• Meals and snacks on-site

Salary Range: $160,000 to $185,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. NewLimit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at: https://www.newlimit.com/careers   *This compensation and benefits information is based on Company's good faith estimate as of the date of publication and may be modified in the future.

Overview

As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will lead the design and development of core ML models that power Instacart’s ads ecosystem. This is a research-leaning role focused on theoretical problem formulation, training methodology, and model quality rather than infrastructure or full-stack engineering. You will tackle fundamental challenges in pCTR modeling such as mitigating selection bias, position bias, and optimizer’s curse in training data, improving model calibration across surfaces and domains, and advancing our multi-task learning and sequence modeling capabilities. You will also have the opportunity to shape our next-generation foundation model approach for ads ranking and contribute to cutting-edge retrieval systems like TIGER (Transformer Index for Generative Recommenders), Semantic ID and domain language models.

The Ads Response Prediction team owns all systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, sequential modeling and generative retrieval systems for next interaction recommendations, LLM integrations, relevance models, pCTR models, bidding models and incrementality models. The team optimizes for an efficient marketplace to ensure delightful customer shopping experience, desirable advertiser business outcome and Instacart Ads revenue.

The team has strong ML infrastructure and MLOps support, including Delta/DBT-Spark data pipelines, Ray-based distributed training, and automated model deployment. This means you can focus your energy on advancing modeling science rather than building infrastructure.

About the Job

• Lead research and development of pCTR and conversion prediction models, with a focus on improving calibration, reducing training data biases (selection bias, position bias, optimizer’s curse), and advancing model accuracy across Instacart’s ads surfaces.
• Design and implement debiasing techniques such as Mixed Negative Sampling (MNS), Inverse Propensity Weighting (IPW), counterfactual risk minimization, and calibration methods (Platt scaling, isotonic regression) to address systematic prediction biases.
• Contribute to the next-generation Multi-Domain Multi-Task (MDMT) model architecture, incorporating innovations like Mixture-of-Experts (MoE), Transformer layers for sequential user behavior, and LoRA adaptors for scalable domain fine-tuning.
• Drive sequence modeling initiatives including the TIGER generative retrieval system and Semantic ID representation learning, expanding their application across ads surfaces such as Product Details, Search and other placements.
• Collaborate with the broader ML community in the company on the path toward Foundation Models using autoregressive user behavior prediction.
• Formulate and scope ambiguous modeling problems from first principles. Translate business observations (e.g., overcalibration patterns, cold-start underperformance) into well-defined ML research directions with clear evaluation criteria.
• Publish and present findings internally. Contribute to the team’s culture of technical rigor through design reviews, paper sharing, and experiment retrospectives.

About You

Minimum Qualifications

• PhD/Master in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field.
• 6+ years of combined academic and industry experience (including PhD research) applying ML to ranking, recommendation, or prediction problems at scale.
• Deep understanding of CTR/conversion prediction modeling, including familiarity with architectures such as Deep & Wide, DeepFM, DCN, and multi-task learning formulations.
• Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation. Ability to reason about selection bias, position bias, and propensity-based correction methods.
• Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, JAX). Fluency in data manipulation tools (SQL, Spark, Pandas).
• Track record of formulating ambiguous problems into well-scoped ML research directions and delivering results through rigorous experimentation.
• Strong written and verbal communication skills. Ability to explain complex modeling decisions to cross-functional stakeholders including product managers and data scientists.

Preferred Qualifications

• Experience in ads ranking or auction-based systems (pCTR, bid optimization, ROAS feedback loops, marketplace dynamics).
• Hands-on experience with autoregressive sequence models for user behavior prediction, generative retrieval, or transformer-based ranking architectures.
• Familiarity with learned representations such as Semantic IDs, product embeddings, or other approaches to reducing feature cardinality and cold-start challenges.
• Experience with transfer learning or domain adaptation techniques (e.g., LoRA, adapter-based fine-tuning) applied to recommendation or ranking models.
• Publication record in top-tier venues (KDD, WWW, RecSys, NeurIPS, ICML, SIGIR, or similar).
• Experience mentoring junior engineers or shaping technical direction for a modeling team.
• Familiarity with LLM-driven approaches to recommendation, including prompt-based personalization and AI-assisted model development (AutoML).

Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We are looking for a Data Governance Engineer to join our core engineering teams. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.

The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Peregrine. We provide fine-grained, secure data access, and auditability controls.

Role

We are looking for a software engineer to join our growing team where you will have vast ownership across our stack. You will take an active role in architecting and building the next version of our core access control and governance systems that govern access to over 7 billion data points within Peregrine’s multi-tenant data platform. Features will span fine-grained permissions, auditability, policy enforcement, metadata management, data labeling & compliance across the platform.

You will work closely with Product Managers to drive projects from idea formulation to design and implementation. You will design and build data governance features, making thoughtful trade-offs to create systems that strike the right balance between security and usability.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Build scalable, secure-by-default frameworks that are foundational to our infrastructure, ensuring first-in-class data security
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components within the data governance domain
• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems

What we look for

• 5+ years of experience working with cross-functional software development teams, distributed data systems and cloud-based platforms
• Knowledge across areas that include: data governance, access controls and platform auditability
• Strong development background in technologies and languages that include Python
• Exceptional interpersonal and communication skills
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community

Located in San Francisco and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Impact You’ll Own:

• Interface mission specifications between our customer and Planet’s teams
• Assess system level budgets for engineering trades and feasibility studies
• Collaborate with our mission operations as well as data product teams to ensure that the satellite system meets the needs of our customer
• Participate in the assembly, integration and testing (AI&T) of satellite systems for test planning and anomaly resolution 
• Provide verification and validation of the satellite system and ground systems, including environmental, functional, and end-to-end testing
• Lead the technical coordination of multiple teams, including Mechanical, Thermal, ADSCS/GNC, Propulsion, Electrical, and Manufacturing engineering teams 

What You Bring:

(Reference the wiki on how to make sure this section meets compliance requirements)

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or similar
• 5+ years of experience in the design and development of satellite systems
• Customer facing experience in briefings and design reviews
• Understanding of one or multiple satellite subsystems, including Mechanical, Thermal, ADSCS/GNC, Propulsion, or Electrical
• Familiarity with requirements formulation, validation, and verification best practices
• Experience with vehicle testing, including both functional and environmental testing

What Makes You Stand Out:

• Master's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or similar.
• 7+ years of experience working in the satellite industry, including design/analysis, AI&T and/or V&V.
• Familiar with industry standards including NASA GEVS and SMC-S-16 for small satellites (50-200 kg)
• Remote Sensing experience related to electro-optical payloads
• Knowledge of design for space environment best practice
• Experience with constellation design or orbital simulations in custom tool suites or STK
• Excellent understanding of ground segment architecture including mission control and mission processing elements

Application Deadline:

July 7, 2026 by 11:59p / 23:59 CET (Central European Time)

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

The Opportunity

As Senior Director of Pharmaceutical Development, you lead all small molecule drug product activities and serve as a technical expert overseeing processes at CDMOs. You guide formulation and process development, manage scaleups, and proactively identify risks, gaps, and solutions across CMC. You’ll dig into process and analytical data to resolve key challenges and advise on the best path forward. 

You bring strong cGMP expertise, support regulatory submissions, and collaborate across research, development, and technical operations. You coach teams for excellence, fuel intellectual curiosity, and champion inclusive, impactful leadership. 

This position reports to Vice President, Technical Operations. 

The Impact You’ll Have

• Lead small molecule drug product formulation, process development, and manufacturing activities with external CDMOs. 
• Ensure drug products meet quality, cost, time, safety, and operational goals. 
• Evaluate CDMO capabilities and recommend approaches for development and manufacturing. 
• Drive formulation, process development, scaleup, and tech transfer from initiation through regulatory approval. 
• Shape and optimize CMC strategy, project plans, and execution. 
• Monitor daily CMC activities, resolve challenges, and ensure cGMP compliance. 
• Ensure CDMO processes meet needs across formulation development, tox studies, clinical trials, and commercial launch. 
• Assess and implement new methods, tools, and technologies that elevate program success. 
• Analyze scientific data, review batch documentation, and contribute to regulatory filings (IND/IMPD/CTA/NDA). 
• Review and approve master and executed batch records; lead process improvements and drive solutions. 
• Lead technical investigations, identify root causes, and implement corrective actions for deviations. 
• Collaborate effectively across teams with integrity, impact, and a values-driven mindset. 
• Represent Tech Ops and CMC in cross-functional settings. 

As a Senior Director, we also expect you to demonstrate the following Leadership Competencies:

Leadership Competencies

• Communication and Influence
  • Role models clear communication and open two-way conversations. 
  • Reinforces an environment where people feel heard and their opinions are valued. 
  • Inspires followership despite differing initial opinions. 

• Teamwork and Collaboration
  • Champions collaborations and connections across Maze. 
  • Establishes team norms and expectations. 
  • Seeks opportunities to spotlight team and individual contributions in public forums. 

• Execution and Results
  • Develops recommendations to seize on opportunities and mitigate obstacles that could impact long-term success. 
  • Coaches others on resource management and work distribution/delegation. 
  • Aligns work to Maze’s strategy, mission, and vision. 

• Develop Others and Self
  • Develops staff capabilities to handle delegation of responsibilities. 
  • Encourages staff to develop and execute personal stretch goals. 
  • Identifies and recommends ways to increase inclusive leadership. 

What We’re Looking For

• PhD/MS/BS in Pharmacy, Pharmaceutics, Chemical Engineering, or related field. 
• 15+ years of experience in Drug Product CMC development and manufacturing. 
• Deep expertise in small molecule Drug Product CMC from preclinical through commercial stages. 
• Experience leading Drug Product functions in biotech/pharma across multiple programs. 
• Strong knowledge of GMP and ICH guidelines; experience authoring regulatory submissions is a plus. 
• Direct manufacturing experience preferred. 
• Proven success in tech transfer and scaleup. 
• Ability to strategically and pragmatically partner with CDMOs to optimize quality and operations. 
• Handson formulation development experience and the ability to share knowledge with external partners. 
• Strong attention to detail and a talent for building robust Drug Product processes. 
• Comfort navigating fast-paced, evolving startup environments. 
• A self-starter mindset with strong leadership, communication, and decision-making skills. 
• Willingness to travel as needed to support CMC goals with external partners. 

This role follows a hybrid schedule, with an expectation to be onsite at our South San Francisco headquarters at least three days per week 

About Maze Therapeutics

Maze Therapeutics is a clinical-stage biopharmaceutical company harnessing the power of human genetics to develop novel, small molecule precision medicines for patients living with renal, cardiovascular and related metabolic diseases, including obesity. The company is advancing a pipeline using its Compass platform, which allows it to identify and characterize genetic variants in disease and then link those variants to the biological pathways that drive disease in specific patient groups through a process it refers to as variant functionalization. The company’s pipeline is led by two wholly owned lead programs, MZE829 and MZE782, each of which represents a novel precision medicine-based approach for chronic kidney disease.  Maze is based in South San Francisco.

Our People

Maze is comprised of a team of passionate and creative professionals committed to discovering and delivering transformative medicines to patients suffering from both rare and common genetic diseases. We are fostering a culture that encourages vision, initiative and the development of talent. Our supportive work environment inspires creative thinking and freedom of expression, resulting in a stimulating atmosphere where people enjoy coming to work. While we have a passion for advanced science and pride ourselves on excellence in execution, ultimately, everything we do is about patients. 

Our Core Values

Further Together – Our path is paved with challenges, but with resilience and a team-first mentality, we’ll achieve our mission. 

Impact Obsessed – We embrace the bold, take calculated risks, and learn from our mistakes to improve the lives of others.

Stand True – Our integrity is foundational; it guides us no matter the obstacle.

The expected annual salary range for employees located in the San Francisco Bay Area is $257,000 - $315,000. Additionally, this position is eligible for an annual performance bonus.

Maze performs position-based compensation benchmarking to industry market data to ensure we pay competitive wages. Determination of starting salary will depend upon a variety of job-related factors, which may include professional experience, skills, and job location. The expected salary range for this role may be modified in the future.

Maze offers a robust benefits package to our eligible employees including competitive medical, dental, and vision insurance, mental health offerings, equity incentive plan, 401(k) program with employer match and a generous holiday and PTO policy.

#LI-Hybrid

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We are looking for a Data Governance Engineer to join our core engineering teams. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.

The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Peregrine. We provide fine-grained, secure data access, and auditability controls.

Role

We are looking for a software engineer to join our growing team where you will have vast ownership across our stack. You will take an active role in architecting and building the next version of our core access control and governance systems that govern access to over 7 billion data points within Peregrine’s multi-tenant data platform. Features will span fine-grained permissions, auditability, policy enforcement, metadata management, data labeling & compliance across the platform.

You will work closely with Product Managers to drive projects from idea formulation to design and implementation. You will design and build data governance features, making thoughtful trade-offs to create systems that strike the right balance between security and usability.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Build scalable, secure-by-default frameworks that are foundational to our infrastructure, ensuring first-in-class data security
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components within the data governance domain
• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Grow engineering talent through hands-on mentorship while fostering strong security values

What we look for

• 10+ years of experience architecting and maintaining distributed data systems and cloud-based platforms
• Deep knowledge across areas that include: data governance, access controls and platform auditability
• Strong development background in technologies and languages that include Python
• Proven success coaching and developing senior engineers
• Demonstrated ability in technical execution and leadership
• Exceptional interpersonal and communication skills
• Ability to work on-site at our San Francisco or New York office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We are looking for a Data Governance Engineer to join our core engineering teams. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.

The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Peregrine. We provide fine-grained, secure data access, and auditability controls.

Role

We are looking for a software engineer to join our growing team where you will have vast ownership across our stack. You will take an active role in architecting and building the next version of our core access control and governance systems that govern access to over 7 billion data points within Peregrine’s multi-tenant data platform. Features will span fine-grained permissions, auditability, policy enforcement, metadata management, data labeling & compliance across the platform.

You will work closely with Product Managers to drive projects from idea formulation to design and implementation. You will design and build data governance features, making thoughtful trade-offs to create systems that strike the right balance between security and usability.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Build scalable, secure-by-default frameworks that are foundational to our infrastructure, ensuring first-in-class data security
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components within the data governance domain
• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Grow engineering talent through hands-on mentorship while fostering strong security values

What we look for

• 10+ years of experience architecting and maintaining distributed data systems and cloud-based platforms
• Deep knowledge across areas that include: data governance, access controls and platform auditability
• Strong development background in technologies and languages that include Python
• Proven success coaching and developing senior engineers
• Demonstrated ability in technical execution and leadership
• Exceptional interpersonal and communication skills
• Ability to work on-site at our San Francisco or New York office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

What You Will Contribute To Altos

The Altos Institute of Medicine will capture knowledge generated about cell health and programming and develop transformative medicines. We are seeking an experienced Scientist, Formulation Development, to join the Technical Operations team within the Institute of Medicine for a six month contract. The candidate will work in a highly dynamic and cross-functional environment that will have close collaboration with the Institutes of Science and span multiple therapeutic areas. The successful candidate will perform formulation development for Altos’ small molecule and oligonucleotide programs.

Responsibilities

• Conduct formulation, process development and manufacturing for small molecule and oligonucleotide therapeutics, and support drug product development for other modalities
• Perform preformulation characterization and analytical testing to support drug product development
• Support development and manufacturing at Contract Development and Manufacturing Organizations (CDMOs) to deliver products for nonclinical studies and clinical trials 
• Perform troubleshooting and data analysis to solve technical problems in formulation development and manufacturing to ensure product quality
• Support risk assessments and manufacturing deviation investigations
• Author Standard Operating Procedures, specifications, regulatory filing, or other controlled documents as needed.
• Foster strong partnerships with Institutes of Science and development sciences
• Actively contribute to a team culture that promotes continuous improvement, ownership, professional growth, and inclusion

Who You Are 

Qualifications

• M.S. with 6+ years or Ph.D. with 2+ years of experience in the formulation, process development, and manufacturing of small molecule drug products, with a degree in chemistry, pharmaceutical sciences, chemical engineering, or a related field.
• Experience in preformulation characterization and analytical testing
• Experienced in achieving CMC deliverables through outsourcing to CDMOs is preferred
• Ability to work in a dynamic environment, with a willingness to learn new skills and adapt to shifting priorities and tasks
• A critical thinker with the ability to analyze possibilities and solutions and make pragmatic trade-offs, as well as a big-picture innovator who can identify opportunities and is comfortable with ambiguity
• Strong communication and collaboration skills. Build effective relationships and partnerships with internal and external stakeholders

The salary range for Redwood City, CA:

• Scientist I, Formulation Development: $61/hr. - $75/hr.
• Scientist II, Formulation Development: $72/hr. - $88/hr.

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

Position: Production Manager:  Gene Editing and Tissue Culture Production 

Location: South San Francisco, CA

About the Role:

We are seeking a highly driven Production Manager to lead multi-shift operations across gene editing, media formulation/production, and plant tissue culture. This role is responsible for delivering against ambitious throughput, turnaround time (TAT), and quality targets while building and developing strong frontline leaders.

You will oversee shift leads and technical teams, drive operational excellence, and ensure safe, compliant, and high-quality production at scale. This is a hands-on leadership role for someone who thrives in a fast-paced, biotech production environment.  You will be responsible for all aspects of day to day production operations as well as reporting KPIs to the organization. 

What You’ll Do:

Lead & Develop High-Performing Teams

• Directly manage shift leaders and supervisors across multiple shifts
• Train, mentor, and hold leaders accountable to clear performance expectations
• Build bench strength through structured onboarding, skills development, and succession planning
• Foster a culture of ownership, urgency, quality, and continuous improvement
  
  

Drive Operational Execution

• Own daily production across gene editing, media formulation, and tissue culture workflows
• Deliver on throughput, TAT, yield, and quality targets
• Optimize labor, materials, and equipment utilization
• Identify bottlenecks and implement process improvements to increase capacity, and optimize resources and cost. 
• Report out KPIs weekly
• Partner with Engineering to define automation improvements and software to define MES tracking and dashboards requirements
• Build and Manage daily production trackers and lead standups across the organization

Ensure Quality, Compliance & Safety

• Maintain strict adherence to SOPs, quality systems, and biosafety standards
• Partner with Quality and EHS to resolve deviations and drive corrective actions
• Champion contamination control and operational discipline
• Build systems and trackers as needed to support and document compliance
  
  

Scale for Growth

• Lead continuous improvement initiatives (Lean/Six Sigma mindset preferred)
• Support process transfer, scale-up, and operational readiness initiatives
• Collaborate cross-functionally with R&D, Supply Chain, Engineering, and Quality to bring new production processes online, provide input to MES, and assure all end to end production stability. 

What You Bring

• Bachelor’s degree in Biology, Biotechnology, Plant Science, Bioengineering, or related field (advanced degree preferred)
• 5+ years of experience in Ag, biotech or life sciences manufacturing
• Experience leading multi-shift production teams
• Strong background in plant tissue culture, sterile workflows, or cell-based production
• Demonstrated success improving throughput and reducing turnaround time
• Data-driven mindset with strong operational discipline
• Proven ability to coach leaders and build accountable teams

The anticipated base pay range for this role is $110,000 - $140,000 per year for our South San Francisco location, which represents multiple levels for this function.  The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, budget availability, internal equity, geographic location and external market pay for comparable jobs.

About Ohalo: 

Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit www.ohalo.com.

Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application.

Ohalo is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Ohalo is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

No visa sponsorship is available for this position at this time. 

This organization participates in E-Verify. Posters linked here. 

No recruiters, please.

About the Role:

We are currently seeking a Senior Spacecraft Systems Engineer to lead system development, verification, and test of Planet’s next-generation satellite platforms, covering multiple domains including earth observation and compute in space. As a spacecraft technical lead,  you will guide an agile engineering team through requirements formulation, design, verification and validation (V&V), as well as integration, assembly and testing (AI&T) phases for new satellite systems. You will also interface with our Product team to ensure that our satellites meet our customer’s needs, with our Manufacturing leads to transition our satellites to mass production, and our Mission Operations leads to ensure the proper on-orbit operation of our future fleets. 

This is a full-time, hybrid position which is required to work in our San Francisco HQ a minimum of 3 days per week.

Impact You'll Own:

• Drive the development and growth of Planet’s next-generation R&D satellites and subsystems
• Lead definition of subsystem interfaces, system level budgets, and multidisciplinary and multi-organizational design trades
• Lead the technical coordination of multiple teams, including Mechanical, Thermal, ADSCS/GNC, Propulsion, Electrical, and Manufacturing engineering teams 
• Develop and execute plans for validation and verification of the satellite system, including both environmental and functional testing
• Participate in the assembly, integration and testing of satellite systems, including troubleshooting and implementation of lessons learned
• Collaborate with our mission operations as well as data product teams to ensure that the satellite system meets the needs of our customers

What You Bring:

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or similar
• 6+ years of experience in the design and development of satellite systems
• Understanding of one or multiple satellite subsystems, including Mechanical, Thermal, ADSCS/GNC, Propulsion, or Electrical
• Familiarity with requirements formulation, validation, and verification best practices
• Experience with vehicle testing, including both functional and environmental testing
• Experience collaborating with technical teams
• Excellent communication skills for exchanges with vendors, contractors, and customer
• Excited by working in an agile, dynamic environment, even in times of uncertainty and ambiguity

What Makes You Stand Out:

• Master's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or similar
• 7+ years of experience working in the satellite industry, including design/analysis, AI&T and/or V&V
• Familiar with industry standards for small satellites (50-200 kg)
• Remote Sensing experience related to electro-optical payloads
• Knowledge of design for space environment best practice
• Solid understanding of the product development lifecycle process, including analysis and design, development tools and technologies, release and version control, contemporary testing methodologies and deployment management

Application Deadline:

May 23, 2026 at 11:59p PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

THE ROLE

We are seeking an experienced and highly motivated Director of Analytical Development to manage and drive analytical development and quality control activities across our small molecule drug discovery and development programs. Reporting to the Vice President, CMC, this individual will fill a critical role as the subject matter expert (SME) and functional lead and will contribute to the strategic direction, technical management, and operational execution for CMC development and manufacturing activities. This position is instrumental in collaborating with and managing a network of consultants and Contract Development and Manufacturing Organization (CDMO) partners to enable our efforts to discover and develop small molecule therapeutics.

Responsibilities

• Act as an SME for Analytical Development in the support of drug substance and drug product development, including process chemistry, form and formulation development, and GMP manufacture.
• Define CMC control strategies, including development, review, and justification of specifications for raw materials, intermediates, drug substance, and drug product in alignment with industry standards and regulatory expectations.
• Develop analytical test methods and manage method validation and transfer as necessary to support CDMO GMP manufacturing, release, and stability of drug substance and drug product.
• Author and review analytical methods, protocols, reports, batch records, change controls, corrective and preventative actions, deviations, and investigation, including OOS and OOT events.
• Write and review CMC sections of regulatory documents and submissions (IMPD, IB, IND, NDA, etc.) and the supporting technical documents and remain current on Health Authority guidance and expectations.
• Develop CMC strategies to meet program and project development targets, ensure timely and efficient delivery of high-quality products, and facilitate regulatory approvals.
• Develop and maintain the quality system to ensure product quality and data integrity, including authoring and reviewing standard operating procedures, guidelines, and work instructions.
• Establish and manage a reference standard program, including oversight of qualification and maintenance of reference standards at CDMOs.
• Support the evaluation, selection, and management of CDMOs to perform process and method development, and GMP manufacture, release testing, and stability studies.
• Represent CMC and participate in cross functional project teams and manage multiple priorities in a fast-paced, dynamic environment and enact quick problem solving to ensure on-time supplies and achieve project goals.

Qualifications

• A BS, MS, or PhD degree in analytical chemistry or related field with a minimum of 16 years, 14 years, or 10 years, respectively, of relevant industry experience with demonstrated increasing responsibilities within analytical development.
• Exhibited track record of success in delivering timely execution of CMC activities ranging from non-GLP and IND-enabling material supplies, through GMP clinical trial supplies and commercialization.
• Demonstrated expertise with analytical method development, phase appropriate method qualification/validation, release and stability testing, and specification development and justification.
• Experience with analytical techniques for small molecules and oral solid dose products. Must demonstrate a strong proficiency in IR, UPLC/HPLC, LC/GC-MS, KF, GC, dissolution, ICP, and microbial limit tests. Must have proficient working knowledge of NMR and solid-state characterization techniques such as particle size distribution and XRPD.
• Strong quality mindset and effective leadership of quality systems, including SOPs, protocols and reports, release and stability data review, OOT and OOS management, Good Documentation Practices, LIMS and cGMP data traceability, Deviations, and Change Management.
• Demonstrated knowledge and application of current industry and compendial standards and regulatory authority guidance and expectations, including ICH, FDA, MHRA, and EMA guidelines and USP-NF, Ph. Eur, BP, and JP compendia.
• Proven ability to manage and collaborate with external partners, including consultants and CDMOs.
• Excellent interpersonal and communication skills (written and oral) with the ability to effectively and concisely present data to peers, management, and external groups.
• Exhibited strong organizational and critical thinking skills with an attention to detail enabling sound, technically driven decision making.
• Able to travel domestically and internationally as needed, up to 20% of the time.

The anticipated salary range for candidates who will work in South San Francisco, CA is $225,000 - $250,000. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location and relevant education or training. Septerna's compensation package also includes benefits, stock options, and annual target bonus for full-time positions.