About the Team: 

The Interplanetary Sciences Program was established to expand access to scientific exploration across our solar system. Its mission is to make planetary research faster, more affordable, and more capable than ever before by rethinking how science missions are designed, built, and operated. The program aims to enable scientists to send instruments to distant worlds without decades of development or prohibitive costs. By creating a sustainable model for interplanetary exploration, we are transforming space science from an occasional event into a continuous process of discovery that accelerates knowledge, broadens participation, and inspires the next generation of explorers.

About the Role:

We are seeking a driven science payload manager to lead the delivery, integration, and operations support for a science instrument suite. This is a highly technical role for a leader who combines deep technical and scientific competency, is confident in making risk-based decisions, and has a sense of personal ownership over the success of the instrument from build phase through on-orbit operations.

In this role you will serve as the responsible engineer for working with our partners to ensure the delivered instruments meet or exceed the desired science capability, and proceed smoothly and efficiently through environmental testing, spacecraft integration, commissioning, and in-space operations. This role requires you to understand the science and the engineering, manage risk proactively, make hard decisions under uncertainty, own the outcomes, communicate clearly to multiple stakeholders, and care deeply about the science results. You will need to understand the engineering systems and be an advocate for how they should be designed to support and enable collecting exceptional science on this and future missions. You will operate as part of a fast-moving, lean, multi-disciplinary team driven by mission success.

About You

• Master's degree in planetary science, engineering, physics, or a related technical discipline
• 3+ years experience in science research
• 3+ years experience working on a spacecraft payload through multiple phases (e.g., some combination of formulation, build, testing, integration, on-spacecraft testing, commissioning, operations)
• Relentless curiosity and a desire to understand and optimize systems
• Familiarity with Earth and planetary science missions and the unique constraints on instruments (power, mass, thermal, data rate, radiation)
• Excellent written and verbal communication skills

Nice to haves but not required

• Experience with planetary science instruments

This position may require occasional travel to partner institutions, test facilities, and mission integration sites (<10% time). During critical mission phases including launch, commissioning, and early operations this position will require shift work and on-call availability. 

Hiring Range and Leveling

Senior Engineer: 124,500 - 170,500
Staff Engineer: 150,000 - 207,000

Leveling and Compensation will be finalized after the interview process, based on an evaluation of job-related knowledge and skills, education, and experience.

The Data Scientist I supports statistical analyses of large datasets, the development and deployment of Machine Learning (ML), multimodal Deep Learning (DL), and Artificial Intelligence (AI) solutions that improve the relevance and value of ads across our Ad Exchange, Contextual Platform, and Attention Measurement Platform. This role focuses on applying strong analytical foundations, building and evaluating ML and DL models, leveraging general AI concepts and techniques, while also partnering closely with the Engineering, Product, and Data Science team to improve ad-serving performance, operational decision-making and lead development of new AI products that best serve the business. 

The ideal candidate is curious, data-driven, and eager to develop a strong understanding of the advertising domain and the systems that power large-scale decision-making. You will work with large datasets, contribute to production AI systems, and gain hands-on experience across the ML lifecycle — from exploration to monitoring.

Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. For this position, in-person/office collaboration is required 2 days per week, supporting a balanced approach to flexibility and team engagement.

What You'll Achieve

• Support the translation of business and product requirements into data-driven analyses and ML solutions
• Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML and DL models
• Conduct exploratory data analysis to inform feature development and modeling approaches
• Build, run, and maintain regular pipelines to analyze production data, generate KPIs, and prepare automatic retraining of existing models
• Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms
• Train, evaluate, and iterate on traditional ML models and multimodal deep learning models under guidance from senior team members
• Design and maintain Looker dashboards and other Business Intelligence (BI) tools to track Key Performance Indicators (KPI) for key stakeholders
• Develop and deploy agentic pipelines and other LLM-powered applications, including prompt engineering, tool use, and evaluation of model outputs
• Contribute to existing Machine Learning Engineering (MLE) workflows for model training, deployment, and monitoring
• Document analyses, models, and broader learning to support knowledge sharing across the team and non-technical audiences
• Continuously expand on statistical and AI foundations while learning new AI/ML techniques, tools, and advertising-domain concepts

Skills You'll Bring

• Bachelor’s degree in a quantitative field (e.g., Statistics, CS, Math, Physics, or Economics).
• 1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering.
• Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV.
• Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer.
• Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark.
• Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization).
• Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems.
• Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams.

What We Offer

At GumGum, competitive base pay is a part of a total rewards package, which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from $128,000-$130,000 annually. The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and, depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. 

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO 

Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission.  

YOUR DAY TO DAY

• Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts  
• Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases 
• Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case 
• Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems 
• Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization 
• Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations 
• Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data  
• When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations 
• Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues 
• Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications 
• Implement tooling to estimate the environmental impact of deployed AI systems 
• Stay abreast of important developments in the generative AI research and development space 

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Substantial research or professional experience on issues related to fairness, accountability, and transparency of artificial intelligence (AI) systems, especially generative AI systems 
• Substantial expertise and training in the field of natural language processing, including experience conducting statistical analyses with text data, evaluating and implementing machine learning methods for text data, and strong understanding of text representation techniques 
• Strong familiarity with language modeling and natural language techniques, including strong understanding of the core concept underlying the design of small language models (SLMs) and large language models (LLMs)  
• Substantial experience writing code in Python and working with open-source NLP libraries such as transformers and NLTK 
• Substantial experience working with text data from legal, policy, and social science contexts, such as legal filings, statutes, and regulations 
• Familiarity with the core concepts underlying multi-modal (e.g., text-to-speech, text-to-video, etc.) generative AI systems and experience working with multi-modal datasets 
• Familiarity with popular approaches and frameworks for monitoring and evaluating AI-enabled systems, especially generative AI systems 
• Professional or research experience developing software and strong familiarity with common software engineering practices such as version control, testing, and code reviews 
• Experience developing documentation of technical products and systems tailored to both technical and non-technical audiences 
• Experience working with cloud services (e.g. Amazon Web Services, Azure) a nice to have 
• Excellent communication skills, including the ability to communicate complex technical concepts clearly to technologists without NLP expertise and non-technical stakeholders 
• Excellent project management and collaboration skills, with a track record of partnering with cross-functional teams to translate organizational needs into technical solutions 

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

GENERAL SUMMARY: 

This role is in the Biomarkers & Immunology department and supports immunogenicity risk assessments, biomarker measurements, and clinical pharmacology deliverables by developing novel bioanalytical methods and providing expert analysis and interpretation of key bioanalytical datasets. Bioanalytical methods are rigorously qualified and validated to generate high-quality data for internal stakeholders. Working closely with cross-functional teams (e.g., Early-Stage Product Development, Project Management, Clinical Operations, and Clinical Development), these deliverables inform key program decisions.

This position reports to the Director, Biomarkers & Immunology, and supports 4DMT’s mission and portfolio of targeted genetic medicines. On-site work is required for laboratory activities; however, a flexible hybrid schedule may be accommodated for data analysis and remote oversight of partner organizations.

MAJOR DUTIES & RESPONSIBILITIES:

• Provide scientific and technical leadership in the development and qualification of innovative bioanalytical assays, including ligand-binding assays, anti-drug antibody (ADA) assays, cell-based assays, and molecular assays to evaluate immunogenicity, PK/PD, and biomarkers for preclinical and clinical use across multiple therapeutic areas (e.g., ophthalmology, pulmonology, CNS).
• Lead assay lifecycle activities (method development, qualification, validation, and implementation), including defining fit-for-purpose performance criteria, identifying risks, and driving timely resolution of technical issues.
• Oversee GxP workflows and apply relevant regulatory guidance for early-stage and late-stage assay development, validation, and implementation. Ensure data integrity and inspection readiness as applicable.
• Independently design and execute experiments; analyze and interpret data; and communicate conclusions, limitations, and recommendations to management and study teams to enable decisions.
• Contribute to the design and interpretation of in vivo and in vitro studies to support assay development and biomarker strategy, including selection of appropriate readouts and defining decision criteria.
• Assess and select contract research organizations (CROs), lead technology transfer, and manage external assay method development, qualification, and GxP validation, including vendor performance, issue escalation, and corrective actions.
• Partner with Clinical Development and Clinical Operations to define bioanalytical strategy (including sampling strategy and assay performance characteristics) that supports key clinical pharmacology questions (PK/PD, exposure–response, dose selection).
• Review and interpret bioanalytical datasets for quality, trends, and consistency; summarize findings for study teams and contribute to data summaries.
• Author and/or review sections of clinical and regulatory documents (e.g., protocols, sample handling instructions, bioanalytical plans, study reports, Investigator’s Brochure, IND/CTA content) related to PK/PD, immunogenicity, and bioanalytical methods, ensuring scientific accuracy and consistency of key messages.
• Mentor junior staff by providing technical guidance, coaching on experimental design and data interpretation, and reviewing draft deliverables.
• Maintain awareness of relevant scientific literature and emerging technologies; recommend and pilot improvements that increase assay robustness, throughput, or interpretability.
• Write study reports and manuscripts and present results at scientific meetings.
• Maintain compliance with company Environmental Health and Safety policies, procedures, and practices.
• Contribute to a culture of continuous improvement and innovation; encourage team members to expand technical skills and deepen gene therapy expertise.

QUALIFICATIONS:

Education:

• Degree in immunology, bioengineering, molecular biology, cell biology, pharmacology, biochemistry, or a related field.
• PhD with 3+ years of industry or relevant academic experience; Master’s degree with 5+ years; Bachelor’s degree with 7+ years.

Experience:

• Bioanalytical and/or biomarker assay development experience is strongly preferred.
• Experience leading anti-drug antibody assay development and qualification and contributing to validation in a regulated environment (e.g., GxP, as applicable), including defining fit-for-purpose criteria, ensuring data integrity, and troubleshooting complex technical issues. Experience with PCR, qPCR, and droplet digital PCR; RNA-seq; and tissue culture of primary cells and established cell lines. Familiarity with ligand binding assays and LC-MS is a plus.
• Late-stage clinical trial experience, biologics license application experience, and CRO oversight (including deliverable review, issue escalation, and corrective actions) are a plus.
• Working knowledge of clinical pharmacology concepts (PK/PD, exposure metrics, dose selection, exposure–response) and experience translating study objectives into bioanalytical strategy (e.g., sampling strategy, assay performance characteristics), data generation plans, and interpretation for biologics and/or gene therapies is preferred.

Other Qualifications/Skills:

• Competence in standard microplate reader use (e.g., SoftMax software), Meso Scale Discovery platform instruments, PCR primer/probe design, and protein labeling, detection, and purification techniques.
• Demonstrated ability to independently design, develop, and execute new assay methods and to provide technical leadership through critical review of experimental plans, data quality, and conclusions.
• Strong attention to detail with the ability to rigorously analyze and interpret data, ensure data integrity and inspection-ready documentation as applicable.
• Demonstrated ability to influence cross-functional decisions by identifying bioanalytical risks, proposing mitigation plans, and aligning stakeholders on fit-for-purpose approaches.
• Ability to work cooperatively in a team-based environment, supportive of multiple viewpoints and approaches, and able to provide constructive scientific feedback.
• Strong written and verbal communication skills, with demonstrated ability to frame complex data into clear recommendations for diverse audiences (e.g., study teams, functional leaders, and external partners).
• Ability to translate assay performance (e.g., sensitivity, selectivity, drug tolerance, stability, dilutional linearity) into fit-for-purpose guidance for clinical and nonclinical analyses.
• Familiarity with data workflows and common analysis/reporting tools used to summarize and trend bioanalytical results (e.g., Excel, JMP, GraphPad Prism; Python and/or R is a plus).

Travel: <5%

Physical Requirements and Working Conditions:

• Ability to lift up to 20 lbs; bend and twist; and wear personal protective equipment (PPE) such as a lab coat, goggles/glasses, and nitrile gloves.

Base salary compensation range:$164,000 -182,000

About the Role >>> Senior Scientist, Medicinal Chemistry 

As the Senior Scientist, Medicinal Chemistry reporting to the Associate Director of Medicinal Chemistry, you will design and synthesize novel small molecules as part of ongoing research program hit-to-lead and lead optimization efforts. You will have the opportunity for strong scientific collaboration with the internal medicinal chemistry team and will provide scientific oversight of external resources involved in the design and synthesis of novel small molecule drug candidates.  You may lead the organic chemistry function within multidisciplinary project teams to help advance drug discovery projects from inception to the clinic in support of our mission to deliver novel medicines to the cancer patients who need them.  

 This role is based out of our San Francisco Bay Area Laboratory and will require 5% travel. 

 Your work will primarily encompass: 

• Performing hit-to-lead and lead optimization by designing and synthesizing novel small molecules. 
• Supporting and guiding external chemistry resources by designing synthetic strategies, prioritizing targets, and proposing creative solutions to chemistry problems. 
• Advancing novel small molecule hits and lead compounds into clinical candidates by leveraging structure-based drug design, and/or multi-parameter lead optimization. 
• Effectively communicating scientific results and progress. 

And will also include: 

• Collaborating with internal biology and pharmacology teams, CROs, and consultants, including DMPK scientists and CADD experts. 
• Communicating project results and progress to key internal stakeholders. 
• Developing internal talent by providing positive mentorship while fostering a culture of collegiality, accountability, and scientific rigor. 
• Partnering with internal colleagues and external collaborators in cross-functional teams to ensure efficient progression of new compounds through assay workflows. 
• Assisting in writing scientific manuscripts/posters in support of Olema’s publication strategy. 
• Active participation in laboratory safety and environmental initiatives. 

Ideal Candidate Profile >>>  

A love of challenging, important work. We are a pragmatic team, driven to imagine and develop meaningful therapies for improving lives. All employees within our company play a unique and crucial role in our success, both in accomplishing our mission and building a positive company culture. As such, we are looking for someone with the right combination of knowledge, experience, and attributes for this role. 

Knowledge: 

• Ph.D. in Organic or Medicinal Chemistry. 
• Strong knowledge of state-of-the-art synthetic organic chemistry methodology and possess outstanding synthetic trouble-shooting skills. 
• Working knowledge of structure-based drug design as demonstrated by publications or patents. 

Experience: 

• Minimum of 5 years as a medicinal chemist in the pharmaceutical or biotechnology industry. 
• Proven experience collaboration with and supporting external medicinal chemistry FTEs. 
• Demonstrated proficiency in computational modeling software and cheminformatics tools (e.g., Maestro, MOE) 
• Experience with chemical databases such as Dotmatics a plus. 
• Protein Degrader experience a plus. 

Attributes: 

• Have impeccable professional ethics, integrity, and judgment. 
• Self-motivated and enthusiastic; fast learner who can identify project challenges and expeditiously change course as required in a fast-paced organization.  
• Teamwork and collaboration; balances team and individual responsibilities; gives and welcomes feedback; puts success of team above own interests; supports everyone's efforts to succeed; shares expertise with others. 
• Be a “difference maker” in terms of ones’ professionalism and contributions. 
• Strong verbal and scientific writing skills to effectively share information with a wide range of internal and external audiences.

The base pay range for this position is expected to be $160,000-$170,000 annually, however the base pay offered may vary depending on location, market, job related knowledge, skills and capabilities, and experience. The total compensation package for this position also includes equity, bonus, and benefits.

#LI-MT1

Summary:

Vaxcyte has an exciting opportunity for an energetic and talented individual to join our Analytical Development team. The Scientist I, Analytical Development, is responsible for executing analytical testing and contributing to analytical method development activities for biologics/vaccine development programs. 

This role performs routine and non-routine analytical assays using modern analytical techniques, supports method optimization and troubleshooting efforts, and contributes to continuous improvement initiatives with moderate supervision while partnering effectively with cross-functional teams. The position requires demonstrated hands-on laboratory experience, strong technical execution, and problem-solving skills, with the ability to independently plan and execute assigned work, analyze and interpret data, and escalate and/or drive investigations as needed. This role authors and maintains clear technical documentation, including method protocols, method development summaries, and SOPs, and communicates experimental results and conclusions to internal stakeholders.

Essential Functions:

Method Development & Troubleshooting

• Contribute to method development, optimization, and qualification/validation readiness activities.
• Design and execute experiments to evaluate critical method parameters and define appropriate system suitability and control strategies.
• Troubleshoot assay and instrument performance issues using a structured approach; interpret data to identify likely root causes, implement corrective actions, and document outcomes and recommendations.
• Support and/or execute method transfer activities, including protocol preparation, training support, execution at receiving labs, and resolution of transfer issues.
• Author and revise analytical methods, SOPs, protocols, and technical reports; ensure clear documentation of experimental rationale, results, and conclusions for internal review and stakeholder communication.

Team Collaboration

• Partner effectively with cross-functional teams to define analytical plans, meet project timelines, and deliver high-quality outputs.
• Communicate experimental progress, data interpretation, and emerging risks clearly; propose mitigation plans and align next steps with stakeholders.
• Contribute to a compliant, safety-focused, and scientifically rigorous lab culture, model good documentation practices and data integrity expectations.

Analytical Testing & Data Generation

• Perform routine and non-routine analytical testing using modern analytical methods (e.g., HPLC/UPLC, SEC, CE, UV-Vis, ELISA, electrophoresis, plate-based assays, and other biochemical/biophysical techniques).
• Execute assays in accordance with approved methods, SOPs, and applicable quality standards (GLP/GMP as applicable); identify and troubleshoot common issues.
• Perform data processing and interpretation; summarize results, trends, and potential risks, and escalate complex findings for review and decision-making.
• Maintain accurate, timely documentation in laboratory notebooks or electronic systems; contribute to clear technical communications to project and cross-functional stakeholders.

Laboratory Operations & Instrumentation

• Coordinate routine instrument maintenance and service activities; interface with vendors as needed and support timely issue resolution.
• Ensure laboratory organization, cleanliness, and compliant material labeling/storage practices.
• Manage inventory of reagents, standards, and consumables; initiate procurement, track critical supplies, and support forecasting to avoid stockouts.

Safety & Compliance

• Follow all Environmental Health & Safety (EHS) policies and laboratory safety practices.
• Handle chemicals and biological materials safely and in compliance with regulatory requirements.
• Ensure proper waste disposal and adherence to hazardous material handling procedures.
• Support audit and inspection readiness activities where applicable.

Requirements: 

PhD, MS or Bachelor’s degree in Chemistry, Biochemistry, Biology, Pharmaceutical Sciences, or a related scientific discipline. PhD with 1-2 years; MS with 5+ years; BS with 8+ years of relevant industry experience in analytical development, QC, or related field. Other combinations of education and/or experience may be considered.

• Strong hands-on experience with multiple analytical techniques, such as UV-Vis, HPLC, CE, SDS-PAGE, icIEF, Liquid chromatography, Mass Spectrometry, enzyme kinetics, colorimetric and fluorescent plate-based assays, ELISA, Western Blot, and PCR.
• Experience independently driving method development or optimization activities preferred.
• Strong knowledge of analytical chemistry/biochemistry principles with demonstrated application to assay development and control strategies.
• Proven ability to independently troubleshoot non-routine assay and instrument issues using structured root-cause analysis and data-driven decision making.
• Proficient in analytical software, data processing workflows, and statistical tools.
• Strong scientific judgment and attention to detail consistently produces high-quality, inspection-ready documentation.
• Ability to independently plan and prioritize work, manage multiple projects, and meet timelines with minimal supervision.
• Clear and effective written and verbal communication; able to summarize complex data, present recommendations, and collaborate across functions.

Summary:

Vaxcyte has an exciting opportunity for an energetic and talented individual to join our Analytical Development team. The Associate Scientist II, Analytical Development, is responsible for executing analytical testing and supporting method development activities for biologics/vaccine development programs. This role will perform routine and non-routine analytical assays using modern analytical techniques and will contribute to method optimization, troubleshooting, and continuous improvement initiatives under supervision. The position requires demonstrated hands-on laboratory experience, strong technical execution, and the ability to work independently on routine tasks while supporting more complex development activities.

Essential Functions:

Analytical Testing & Data Generation

• Perform routine and non-routine analytical testing using modern analytical methods (e.g., HPLC/UPLC, SEC, CE, UV-Vis, ELISA, electrophoresis, plate-based assays, and other biochemical or biophysical techniques).
• Prepare samples, reagents, standards, and buffers according to established protocols.
• Execute assays in accordance with approved methods, SOPs, and applicable quality standards (GLP/GMP as applicable).
• Perform data processing and preliminary interpretation; summarize findings for review by senior scientists.
• Maintain accurate and timely documentation in laboratory notebooks or electronic systems.

Method Development & Troubleshooting (Under Supervision)

• Support method development, optimization, and qualification activities under the guidance of senior scientists.
• Assist in designing experiments to evaluate method parameters and robustness.
• Troubleshoot assay performance issues and instrument-related problems, proposing potential solutions for review.
• Participate in method transfer activities, including protocol execution and documentation.
• Contribute to drafting and revising analytical methods, SOPs, protocols, and technical reports.

Laboratory Operations & Instrumentation

• Coordinate instrument service activities and assist with vendor interactions as needed.
• Ensure laboratory organization, cleanliness, and proper material storage.
• Manage inventory of reagents, standards, and consumables; assist with procurement and restocking.

Safety & Compliance

• Follow all Environmental Health & Safety (EHS) policies and laboratory safety practices.
• Handle chemicals and biological materials safely and in compliance with regulatory requirements.
• Ensure proper waste disposal and adherence to hazardous material handling procedures.
• Support audit and inspection readiness activities where applicable.

Team Collaboration

• Collaborate with cross-functional teams to support project timelines and deliverables.
• Provide clear communication on experimental progress, risks, and results.
• Contribute to a positive, compliant, and scientifically rigorous laboratory culture.
• May assist in training junior staff or new team members on routine assays and lab practices.

Requirements: 

• Bachelor’s degree in Chemistry, Biochemistry, Biology, Pharmaceutical Sciences, or a related scientific discipline with 2+ years, or Master’s degree with 1+ years of relevant laboratory experience in analytical development, QC, or related field. Other combinations of education and/or experience may be considered.
• Hands-on experience with analytical techniques such as chromatography, electrophoresis, or immunoassays is required.
• Experience supporting method development or optimization activities preferred.
• Solid understanding of analytical chemistry or biochemistry principles.
• Experience with method troubleshooting and data interpretation.
• Familiarity with analytical software and data analysis tools.
• Strong attention to detail and organizational skills.
• Ability to work independently on routine assignments and manage multiple tasks.
• Effective written and verbal communication skills.
• Ability to work in a laboratory environment for extended periods.
• Ability to lift up to 25 lbs.
• Use of personal protective equipment (PPE) required.
• Contribute to a positive, inclusive, and safety-focused laboratory culture.

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