Insitro

3 months ago

(Senior) ML Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Join a cross-functional team to advance ML methods for biological data analysis, including network/graph modeling and single-cell omics. Collaborate with experimental and computational biologists to identify phenotypes, develop new screening paradigms, and integrate diverse data modalities to uncover disease mechanisms and therapeutic targets in a hybrid South San Francisco setting.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with experimental and computational biologists and ML scientists to advance disease-relevant models.
•Identify novel phenotypes and develop new screening paradigms to interrogate biological systems.
•Develop and apply diverse ML and bioinformatics methods for downstream analyses and data integration.
•Integrate data from multiple modalities (e.g., imaging, transcriptomics, functional genomics, genetics, human cohort data) to extract disease insights.
•Contribute to writing, documentation, and best-practice software development for reproducible research.

Pay and Benefits

Salary: USD 183,000 - 238,000 annually

Equity and Bonus:Equity

Perks:401kMedicalDentalVisionParental LeaveLearning BudgetHome OfficeCell PhoneCommuter BenefitsMeal Allowance

Key Requirements

•Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline.
•Extensive hands on experience developing ML methods for biological data modalities.
•Hands on experience with biological data analysis, in particular familiarity with network and graph based analysis and modeling techniques.
•Experience integrating data or insights from multiple sources and distinct modalities (e.g., imaging, transcriptomics, functional genomics, genetics, human cohort data).
•Strong programming skills in Python and commitment to writing well-commented code with version control and code reviews.

Experience:BiotechBiomedicalDrug discoveryComputational biology

Education:PhD / Doctorate

Skills:CommunicationCollaborationProblem-solvingTeamworkWriting

Tech Stack:PythonAWSAzureGraph-based modelingSingle-cell omicsImaging

Company Brief

Insitro

Insitro is a machine-learning-driven drug discovery and development company that integrates high-throughput biology, human genetics, and AI to identify therapeutic targets and design medicines across metabolic and neurodegenerative diseases.

Industry: Biotech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: South San Francisco, United States

Founded: 2018

Glassdoor: 2.7

Website LinkedIn Glassdoor

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Insitro

3 months ago

(Senior) ML Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with experimental and computational biologists and ML scientists to advance disease-relevant models.
•Identify novel phenotypes and develop new screening paradigms to interrogate biological systems.
•Develop and apply diverse ML and bioinformatics methods for downstream analyses and data integration.
•Integrate data from multiple modalities (e.g., imaging, transcriptomics, functional genomics, genetics, human cohort data) to extract disease insights.
•Contribute to writing, documentation, and best-practice software development for reproducible research.

Pay and Benefits

Salary: USD 183,000 - 238,000 annually

Equity and Bonus:Equity

Perks:401kMedicalDentalVisionParental LeaveLearning BudgetHome OfficeCell PhoneCommuter BenefitsMeal Allowance

Key Requirements

•Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline.
•Extensive hands on experience developing ML methods for biological data modalities.
•Hands on experience with biological data analysis, in particular familiarity with network and graph based analysis and modeling techniques.
•Experience integrating data or insights from multiple sources and distinct modalities (e.g., imaging, transcriptomics, functional genomics, genetics, human cohort data).
•Strong programming skills in Python and commitment to writing well-commented code with version control and code reviews.

Experience:BiotechBiomedicalDrug discoveryComputational biology

Education:PhD / Doctorate

Skills:CommunicationCollaborationProblem-solvingTeamworkWriting

Tech Stack:PythonAWSAzureGraph-based modelingSingle-cell omicsImaging

Company Brief

Insitro

Industry: Biotech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: South San Francisco, United States

Founded: 2018

Glassdoor: 2.7

Website LinkedIn Glassdoor