Scientist II, Arrayed Screening

Benefits

Parental leave

Not verified not verified - source URL not recorded

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$136K-$145K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

21% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Scientist II, Arrayed Screening South San Francisco, CA The Opportunity The unprecedented convergence of multi-modal data and AI has the potential to revolutionize drug discovery. insitro is harnessing this moment to redefine how medicines are developed for complex diseases. Our success depends on our ability to attract, develop, inspire, and retain amazing, diverse talent and build a collaborative, high-performing, inclusive, and equitable culture. insitro is seeking a highly motivated Scientist II, Arrayed Screening to join our experimental biology and screening organization. In this role, you will help build, optimize, and execute high-throughput arrayed screening workflows that generate high-quality, decision-grade biological datasets for drug discovery. This is a highly collaborative role at the interface of cell biology, assay development, automated screening, disease modeling, and machine learning. You will work closely with biologists, bioengineers, automation scientists, data scientists, machine learning scientists, and drug discovery teams to design and run scalable cell-based and biochemical assays across therapeutic programs. The ideal candidate brings deep hands-on experience in cell-based assay development, high-throughput screening, mammalian cell culture, and quantitative data analysis, and is excited to generate robust biological data that can power ML-driven drug discovery. This role reports to the Director, High Throughput Biology and requires you to be onsite at our South San Francisco office 5 days per week . Responsibilities - Develop, optimize, and execute arrayed screening assays in 96- and 384-well plate formats, including endpoint, kinetic, imaging-based, and/or biochemical readouts. - Design and implement cell-based screening workflows using immortalized, primary, iPSC-derived, or engineered

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