Top 306 Applied scientist Jobs in San Francisco 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
Health Policy Fellow - African American Community Health Equity Council (AACHEC)
Rafiki Coalition —San Francisco, CA
- $33 - $40 an hour
- Full-time
- Hybrid work
- Analysis skills
- Communication skills
- Public Health
4d
Applied Scientist
Clipboard —San Francisco, CA
- $160,000 - $225,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- SQL
Staff Applied Scientist
KoBold Metals —Berkeley, CA
- $125,000 - $235,000 a year
- Full-time
- Remote
- System design
- SQL
- Team management
- Disability insurance
- Health insurance
AI Applied Scientist
Verily —San Bruno, CA
- $219,000 - $246,000 a year
- Full-time
- Computer science
- Computer Science
- 3 years
- Health insurance
3d
Student Researcher, BS/MS, Fall 2026
Google —San Francisco, CA
- $98,000 - $131,000 a year
- Computer Science
- Bachelor of Science
- English
- Paid holidays
- Health insurance
Applied Scientist
Koah —San Francisco, CA
- $200,000 - $300,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- AWS
Staff Applied Scientist
Lyft —San Francisco, CA
- $193,600 - $242,000 a year
- Hybrid work
- Computer Science
- Mid-level
- Office
- Commuter assistance
- Paid parental leave
People Science & Learning Associate
roblox —San Mateo, CA
- $126,260 - $162,000 a year
- Full-time
- Office
- Analysis skills
- Psychology
14d
Robotic AI Engineer/Applied Scientist - Foundation Models
Maven Robotics —San Francisco Bay Area, CA
- Computer Science
- Doctor of Philosophy
- Senior level
Analytical Scientist I
Prolific Machines —Emeryville, CA
- $120,000 - $140,000 a year
- Full-time
- Mid-level
- Doctor of Philosophy
- 1 year
- Disability insurance
- Health insurance
Staff Applied AI Scientist
Poshmark —Redwood City, CA
- $192,157 - $297,843 a year
- Full-time
- Hybrid work
- 5 years
- System design
- SQL
2027 SF Fed Research Associate
Federal Reserve Bank of San Francisco —San Francisco, CA
- $80,000 a year
- Multiple hires
- Writing skills
- Office
- Analysis skills
- Paid holidays
- Health insurance
12d
Member of Technical Staff, Model Training
Parallel Web Systems —San Francisco Bay Area, CA
- $150,000 - $300,000 a year
- Full-time
- Mid-level
- Office
- 401(k)
Senior+ Applied Scientist
Samsara —San Francisco, CA
- $170,170 - $319,000 a year
- Computer Science
- Bachelor of Science
- 3 years
- Parental leave
Applied Machine Learning Engineer, Economist
Mercor —San Francisco, CA
- $130,000 - $500,000 a year
- Full-time
- Office
- Master's degree
- SQL
- Health insurance
- Dental insurance
Applied Researcher
Physical Intelligence —San Francisco, CA
- Full-time
- Doctor of Philosophy
- Fair chance
- Senior level
Health Insurance Specialist (Program Policy)
US Centers for Medicare & Medicaid Services —San Francisco, CA
- $90,968 - $145,468 a year
- Part-time
- Background check
- Customer service
- Pass drug screening
Lupo Lab – Junior/Assistant/Associate/Full Specialist
UC San Francisco Academic —San Francisco, CA
- $57,000 - $201,700 a year
- Online Application
- Computer Science
- Mid-level
- 3 years
9d
Liao Lab - Junior/Assistant/Associate/Full Specialist
UC San Francisco Academic —San Francisco, CA
- $57,000 - $201,700 a year
- Online Application
- Doctoral degree
- Computer Science
- Mid-level

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applied scientist jobs near san francisco ca

Senior/Principal Scientist, Peptide Medicinal Chemistry

Stealth Biotech
San Mateo, CA

Quick Apply

Job Details

Full-time
$150,000 - $200,000 a year

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

applied scientist jobs in san francisco ca

Senior/Principal Scientist, Peptide Medicinal Chemistry

Health Policy Fellow - African American Community Health Equity Council (AACHEC)

Applied Scientist

Staff Applied Scientist

AI Applied Scientist

Student Researcher, BS/MS, Fall 2026

Applied Scientist

Staff Applied Scientist

People Science & Learning Associate

Robotic AI Engineer/Applied Scientist - Foundation Models

Analytical Scientist I

Staff Applied AI Scientist

2027 SF Fed Research Associate

Member of Technical Staff, Model Training

Senior+ Applied Scientist

Applied Machine Learning Engineer, Economist

Applied Researcher

Health Insurance Specialist (Program Policy)

Lupo Lab – Junior/Assistant/Associate/Full Specialist

Liao Lab - Junior/Assistant/Associate/Full Specialist

I want to receive the latest job alert for applied scientist in san francisco ca

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