Top 342 Senior applied scientist Jobs in Fremont 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
Leading Data-Driven Lab for AI Medicines
Inceptive —Palo Alto, CA
- $221,000 - $305,000 a year
- 6 years
- Management
- Doctor of Philosophy
- Health insurance
- 401(k) matching
ICP-MS Laboratory Research Scientist
Stanford University —Stanford, CA
- $127,211 - $154,222 a year
- Overtime
- 3 years
- Ability to lift 50 pounds
- Analysis skills
Senior / Staff Scientist, Assay Automation
Clear Labs —San Carlos, CA
- $120,000 - $150,000 a year
- Full-time
- 8 years
- Doctor of Philosophy
- US work authorization
- AD&D insurance
- Disability insurance
Quick Apply
Senior, Applied AI Health Scientist
Samsung Research America —Mountain View, CA
- $158,800 - $218,100 a year
- Computer science
- Computer Science
- HIPAA
Quick Apply
Senior AI Scientist
Intuit —Oakland, CA
- $165,500 - $243,500 a year
- Computer Science
- Bachelor of Science
- Research
Sr. Associate Scientist, Drug Substance-Data Science (Contract)
Allogene Therapeutics —South San Francisco, CA
- $45 - $50 an hour
- Contract
- Bachelor of Science
- Mid-level
- Bachelor's degree
- Health insurance
Quick Apply
Senior Applied Research Scientist
GEICO —Palo Alto, CA
- $115,000 - $230,000 a year
- Full-time
- Computer Science
- Office
- 3 years
Senior Staff AI Research Scientist
Intuit —Mountain View, CA
- $226,000 - $306,000 a year
- Computer science
- Computer Science
- 8 years
Data Scientist / Senior Data Scientist (Risk Modeling)
Berkshire Hathaway Specialty Insurance —San Ramon, CA
- $100,000 - $160,000 a year
- Azure
- Office
- Master's degree
- Paid parental leave
- AD&D insurance
Quick Apply
Senior Mechanical Design Specialist
Pacific Fusion —San Jose, CA
- $138,100 - $207,000 a year
- Research
- Analysis skills
- Mentoring
- Health insurance
- Dental insurance
Quick Apply
4d
Alibaba.com-Accio-Senior Applied Scientist-Sunnyvale
Alibaba —Sunnyvale, CA
- $162,400 - $266,000 a year
- Computer Science
- Mid-level
- Math
Senior AI Scientist
Hyperfine —Palo Alto, CA
- $190,000 - $215,000 a year
- Weekends as needed
- Hybrid work
- Office
- Analysis skills
- Doctor of Philosophy
- Vision insurance
Quick Apply
LCLS Science Research and Development (SRD) Division Leader
SLAC National Accelerator Laboratory —Menlo Park, CA
- $240,799 - $292,634 a year
- Extended hours
- University
- Doctor of Philosophy
- Mentoring
Senior Mechanical Engineer - Pulsed Power
Pacific Fusion —Fremont, CA
- $140,000 - $200,000 a year
- 5 years
- Continuous improvement
- Doctor of Philosophy
- Health insurance
- Dental insurance
Quick Apply
Senior Applied Research Scientist, Data Curation
NVIDIA —Santa Clara, CA
- $224,000 - $356,500 a year
- Full-time
- Master's degree
- Doctor of Philosophy
- Mentoring
8d
Applied Scientist, Reinforcement Learning (Mid, Senior, Staff)
Hippocratic AI —Menlo Park, CA
- Full-time
- Computer Science
- 5 years
- Office
Senior Staff AI Scientist
Intuit —Mountain View, CA
- $226,000 - $306,000 a year
- Computer science
- Management
- Computer Science
4d
Senior Machine Learning Engineer, Recommendations - USDS
TikTok USDS JV —San Jose, CA
- $187,040 - $359,720 a year
- Hybrid work
- Computer Science
- Office
- Bachelor's degree
- Paid parental leave
- Paid holidays
(USA) Distinguished, Data Scientist
Walmart —Sunnyvale, CA
- $169,000 - $338,000 a year
- Computer Science
- High school
- Office
- Paid jury duty
- Disability insurance
13d

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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

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

senior applied scientist jobs in fremont ca

Senior/Principal Scientist, Peptide Medicinal Chemistry

Leading Data-Driven Lab for AI Medicines

ICP-MS Laboratory Research Scientist

Senior / Staff Scientist, Assay Automation

Senior, Applied AI Health Scientist

Senior AI Scientist

Sr. Associate Scientist, Drug Substance-Data Science (Contract)

Senior Applied Research Scientist

Senior Staff AI Research Scientist

Data Scientist / Senior Data Scientist (Risk Modeling)

Senior Mechanical Design Specialist

Alibaba.com-Accio-Senior Applied Scientist-Sunnyvale

Senior AI Scientist

LCLS Science Research and Development (SRD) Division Leader

Senior Mechanical Engineer - Pulsed Power

Senior Applied Research Scientist, Data Curation

Applied Scientist, Reinforcement Learning (Mid, Senior, Staff)

Senior Staff AI Scientist

Senior Machine Learning Engineer, Recommendations - USDS

(USA) Distinguished, Data Scientist

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