Top 52 Computational biology Jobs in Pleasanton, Ca

Senior/Principal Scientist, Peptide Medicinal Chemistry
Stealth Biotech —San Mateo, CA
- $150,000 - $200,000 a year
- Full-time
- Analysis skills
- Doctor of Philosophy
- In-person
- Health insurance
- Dental insurance
Quick Apply
10d
Staff Scientist, Bioinformatics
Thermo Fisher Scientific —Pleasanton, CA
- $129,400 - $172,500 a year
- Full-time
- Background check
- 6 years
- Pass drug screening
- Commuter assistance
- Paid parental leave
4d
Computational Biologist
Transcripta Bio —Palo Alto, CA
- 3 years
- AWS
- Doctor of Philosophy
13d
Bioinformatics Research Associate (3 Month Contract)
SeqMatic, LLC —Fremont, CA
- $45 - $55 an hour
- Contract
- Bachelor of Science
- Mid-level
- Java
Quick Apply
Part-Time Bioinformatics Scientist (Contract/Consultant)
GeneGenieDx —Pleasanton, CA
- $50 - $85 an hour
- Remote
- Doctor of Philosophy
- Quality control
- Senior level
Quick Apply
Research Data Analyst 2
Stanford University —Stanford, CA
- $108,002 - $128,138 a year
- Full-time
- Computer Science
- Mid-level
- 3 years
Bioinformatics Analyst
Centrillion Technologies, Inc. —Palo Alto, CA
- $65,000 - $90,000 a year
- Multiple hires
- Computer Science
- Bachelor of Science
- Mid-level
- Health insurance
Senior Bioinformatics Scientist
PromptBio Inc. —Pleasanton, CA
- $140,000 - $180,000 a year
- Full-time
- 3 years
- Doctor of Philosophy
- Senior level
- Health insurance
- Dental insurance
Quick Apply
Bioinformatician 2 – Computational Spatial Biology
Stanford University —Stanford, CA
- $108,002 - $128,138 a year
- Full-time
- Computer Science
- Mid-level
- Microsoft Office
Molecular Biologist - Academic Graduate Appointee
Lawrence Livermore National Laboratory —Livermore, CA
- $6,748 - $7,718 a month
- Full-time
- Background check
- Bachelor of Science
- Pass drug screening
- Relocation assistance
- 401(k)
4d
Machine Learning (ML) Bioengineer
Lawrence Livermore National Laboratory —Livermore, CA
- $146,340 - $222,564 a year
- Full-time
- Hybrid work
- Computer Science
- Pass drug screening
- Master's degree
- Relocation assistance
- 401(k)
Computational design of biological experiments for model development
Inceptive —Palo Alto, CA
- $135,000 - $240,000 a year
- Office
- 3 years
- Doctor of Philosophy
- Health insurance
- 401(k) matching
Post Doc Scientist, Structural Biology and Chemistry
Gilead Sciences —Foster City, CA
- Full-time
- Doctor of Philosophy
- Senior level
- Communication skills
Life Science Research Professional 1
Stanford University —Stanford, CA
- $32.58 - $38.48 an hour
- Extended hours
- Bachelor of Science
- Pass drug screening
- Maintenance
Data selection and quality evaluation for biological foundation models
Inceptive —Palo Alto, CA
- $135,000 - $240,000 a year
- Office
- 3 years
- Doctor of Philosophy
- Health insurance
- 401(k) matching
Research Scientist, Frontier Health, DeepMind
DeepMind —Mountain View, CA
- $174,000 - $252,000 a year
- Full-time
- Computer Science
- Doctor of Philosophy
- Critical & Intensive Care
4d
Scientist, Computational Protein Design
Adimab —Mountain View, CA
- $156,800 - $165,760 a year
- Full-time
- Analysis skills
- Doctor of Philosophy
- Senior level
- Health insurance
- 401(k) matching
Quick Apply
Basic Life Research Scientist (1 Year Fixed Term)
Stanford University —Stanford, CA
- $74,000 - $86,000 a year
- Full-time
- Mid-level
- University
- Doctor of Philosophy
Life Science Research Professional 2 (On-Site Only)
Stanford University —Stanford, CA
- $85,376 - $99,581 a year
- Extended hours
- Computer literacy
- Maintenance
- Mid-level
- Health insurance
- Tuition reimbursement
Technician I, Production
Ultima Genomics —Fremont, CA
- $25 - $27 an hour
- Full-time
- Office
- Assembly
- Communication skills
Quick Apply

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Senior/Principal Scientist, Peptide Medicinal Chemistry

Stealth Biotech
San Mateo, CA

Quick Apply

Job Details

Full-time
$150,000 - $200,000 a year
10 days ago

Benefits

Health insurance
Dental insurance
401(k)
Vision insurance

Qualifications

AI models
Project team coordination
Computational research
Teamwork
Automation
High-performance liquid chromatographs
Medicinal chemistry
Doctor of Philosophy
Pharmaceutical analysis
Project delivery management
Leading team collaboration initiatives
Chemistry
Research data analysis
Cross-functional team management
Pharmaceutical research experience
Python
Cross-functional communication
Nuclear magnetic resonance (NMR) spectroscopy
Mass spectrometry
Molecular analysis

Full Job Description

The role

The candidate will lead peptide medicinal chemistry on one or more discovery programs, from hit triage and affinity maturation through developability optimization to candidate selection.

The role carries end-to-end responsibility for the DMTA cycle: defining the design hypothesis, directing synthesis through contract research organizations, interpreting the resulting data, and returning it to the design models. It is a hands-on position that combines individual technical contributions with project leadership. Close collaboration with our AI team is central to the role: translating model output into designs that can be made and tested, returning experimental results in a form the models can learn from, and helping shape what the models are asked to predict next.

Key responsibilities

Design and program leadership

Set and defend the medicinal chemistry strategy for assigned peptide programs, from hits to development candidates.
Drive affinity maturation campaigns.
Optimize developability alongside potency: proteolytic stability, solubility, permeability, half-life extension, and route-of-administration constraints.
Design off-target examination strategies in collaboration with biology and DMPK.
Represent chemistry in portfolio reviews and before the leadership team, with clear go/no-go recommendations and the data supporting them.

DMTA execution, automation, and throughput

Run a high-cadence DMTA cycle: design molecules, prioritize what gets made, and reduce the time from hypothesis to result.
Establish the data discipline that makes the cycle learnable — structured capture of sequences, structures, assay results, and decisions; and feedback to models.

CRO and external management

Own the relationship with peptide synthesis and analytical CROs.
Prepare and review synthesis requests and characterization data.

Working with the platform

Partner with machine-learning colleagues.
Curate the chemistry knowledge on which the platform depends.

Requirements

PhD in organic chemistry, medicinal chemistry, biochemistry, or a closely related field.
Extensive experience in peptide medicinal chemistry within a drug discovery setting, including demonstrated success in affinity maturation and in optimizing ADME and developability properties of peptides.
Strong synthetic and analytical chemistry skills: solid-phase and solution-phase peptide synthesis, macrocyclization chemistries, non-natural and modified building blocks, conjugation, and the analytical methods required to characterize the products (LC-MS, HRMS, NMR, prep-HPLC, chiral and purity analysis).
Experience in a project-leading role — a discovery project or workstream led end to end, with accountability for direction, cross-functional coordination, and outcomes.
High-throughput and automation experience applied to the DMTA cycle — parallel synthesis, high-throughput analytics, and associated data handling.
Fluency in structure-based and property-based design.
Clear scientific communication, both written and verbal, across chemistry, biology, and computational audiences.

Desirable

Working knowledge of agentic workflows.
Experience establishing synthetic and assay workflows from scratch.
Familiarity with computational tools: docking, molecular dynamics, structure prediction, cheminformatics, or scripting in Python.
Experience with peptide half-life extension strategies or with oral peptide delivery.
Track record in a relevant modality — macrocyclic peptides, constrained peptides, peptide–drug conjugates, etc.
Experience taking a peptide program through IND-enabling studies or working with CMC and process chemistry colleagues on scale-up.
Publications, granted patents, or a preclinical or clinical asset you can speak to.

What we offer

Ownership over the chemistry strategy of a young portfolio, and influence over the design platform itself.
A short path from decision to experiment — a small team, short decision paths, and direct access to leadership.
Close, day-to-day exposure to computational and machine-learning approaches to molecular design.
Competitive salary, early-stage equity, and a full benefits package.

About us

We are an early-stage biotechnology company currently in stealth mode. We have developed proprietary machine-learning models and are applying them to our peptide therapeutics pipeline.

Pay: $150,000.00 - $200,000.00 per year

Benefits:

401(k)
Dental insurance
Health insurance
Vision insurance

Work Location: In person

Quick Apply

Refine Your Search

computational biology jobs in pleasanton, ca

Senior/Principal Scientist, Peptide Medicinal Chemistry

Staff Scientist, Bioinformatics

Computational Biologist

Bioinformatics Research Associate (3 Month Contract)

Part-Time Bioinformatics Scientist (Contract/Consultant)

Research Data Analyst 2

Bioinformatics Analyst

Senior Bioinformatics Scientist

Bioinformatician 2 – Computational Spatial Biology

Molecular Biologist - Academic Graduate Appointee

Machine Learning (ML) Bioengineer

Computational design of biological experiments for model development

Post Doc Scientist, Structural Biology and Chemistry

Life Science Research Professional 1

Data selection and quality evaluation for biological foundation models

Research Scientist, Frontier Health, DeepMind

Scientist, Computational Protein Design

Basic Life Research Scientist (1 Year Fixed Term)

Life Science Research Professional 2 (On-Site Only)

Technician I, Production

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