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Scientist II, LC-MS Bioanalysis

insitroOnsite

The Opportunity


We are looking for a Scientist II with expertise in LC-MS/MS-based bioanalysis to support our drug discovery and development pipeline. As a Scientist II specializing in LC-MS/MS, you will independently design, develop, and fit-for-purpose qualify LC-MS/MS methods for analyzing / quantifying drugs (oligonucleotides, biologics, small molecules) in various biological matrices. Your work will be critical in supporting pharmacokinetics (PK), toxicokinetics (TK), pharmacodynamics (PD), and biomarker analysis across preclinical and clinical programs.

You will be responsible for method development, troubleshooting, qualification/validation, and execution of studies. This includes oversight of CROs during method transfer, qualification/validation, and sample analysis.You will collaborate closely with interdisciplinary teams including DMPK, pharmacology, toxicology, clinical development and contribute to the design and implementation of bioanalytical strategies. You will report to the Director of Integrated Bioanalytics. This is a hands-on role that requires onsite laboratory presence at a minimum of 4 days per week.

Responsibilities


  • Independently design, develop, optimize, and fit for purpose qualify LC-MS/MS methods for the quantitative analysis of various drug modalities (oligonucleotides, biologics and small molecules) in relevant biological matrices (e.g., plasma, serum, tissues), supporting PK, PD, and TK evaluations
  • Perform analyte extraction techniques (e.g., immunoprecipitation, SPE, LLE) and sample preparation from complex matrices
  • Troubleshoot and maintain instrumentation to ensure robustness, sensitivity, and reproducibility
  • Analyze and interpret bioanalytical data, ensuring accuracy and consistency.
  • Represent the Bioanalytics function in project team meetings, presenting results and contributing to data-driven decisions
  • Collaborate with and manage CROs for method transfer, qualification/validation, sample analysis, and data review; ensure data integrity and timely delivery
  • Author and review study plans, method development summaries, validation reports, and regulatory documents (e.g., IND, BLA submissions)
  • Contribute to laboratory best practices and support implementation of new workflows and technologies

About You


  • Ph.D. in Analytical Chemistry, Biochemistry, Pharmaceutical Sciences, or a related field with 2+ years of relevant experience; or M.S. with 5+ years; or B.S. with 7+ years of industry experience in a biotech or pharmaceutical setting
  • Hands-on experience with quantitative LC-MS/MS method development and validation in support of biologics, small molecule, peptide, or oligonucleotide bioanalysis
  • Proficiency with sample extraction and preparation techniques for biological matrices
  • Strong analytical and problem-solving skills, with a focus on assay sensitivity, selectivity, and reproducibility
  • Familiarity with regulatory bioanalytical guidelines (e.g., FDA, EMA, ICH M10) and GLP/GCP environments
  • Experience with LC-MS/MS instrumentation (e.g., Sciex, Waters, Thermo) and associated software (e.g., Analyst, MassLynx, Xcalibur)
  • Demonstrated ability to work cross-functionally and communicate scientific findings effectively
  • Ability to interpret bioanalytical data in context of PK/PD is strongly desirable
  • Prior experience managing CROs and external assay transfers is preferred
  • Prior experience with oligonucleotide drugs is preferred
  • Experience supporting IND-enabling studies
  • Experience supporting clinical stage programs is a strong plus

Compensation & Benefits at insitro


Our target starting salary for successful US-based applicants for this role is $135,000 - $155,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.In addition, insitro also provides our employees:

  • 401(k) plan with employer matching for contributions
  • Excellent medical, dental, and vision coverage as well as mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
  • Quarterly budget for books and online courses for self-development
  • Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
  • New hire stipend for home office setup
  • Monthly cell phone & internet stipend
  • Access to free onsite baristas and cafe with daily lunch and breakfast for employees who are either onsite or hybrid
  • Access to free onsite fitness center for employees who are either onsite or hybrid
  • Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices.

All candidates can expect equitable treatment, respect, and fairness throughout the interview process.#LI-Onsite

About insitro


insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy.

insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.

Life at insitro

insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. Weᅢᄁ¬ツᆲ¬トᄁre embarking on a new approach to drug development ᅢᄁ¬ツᆲ¬タワ one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes. This cannot be done without great people. We are bringing together an outstanding team of people whose expertise spans multiple disciplines - life sciences, machine learning, human genetics, engineering, and drug discovery - and building a unique culture where people from diverse backgrounds work as a single team towards a common goal. We offer opportunities to collaborative people with expertise in life science and computational science. Join us to help bring better health to more people, faster and cheaper.
Thrive Here & What We Value1. Inclusive, growth-oriented environment supported by equitable company and team practices2. Open, flexible vacation policy3. Paid parental leave4. Quarterly budget for books and online courses for self-development5. Monthly cell phone & internet stipend6. Access to free onsite baristas and cafe with daily lunch and breakfast7. Access to free onsite fitness center8. Commuter benefits9. Equal opportunity employer1e. Commitment to diversity, equity, and inclusion
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