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Remote Forensic Science Jobs in California (NOW HIRING)

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our Glasgow HQ / Chemifarm The Role We are seeking a Staff CADD Scientist to drive computer-aided drug design ...

$120K - $190K/yr

Working to rigorously solve these security problems through building a science of security and ... Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ...

Staff Scientist II

West Sacramento, CA · On-site +1

$60K - $85K/yr

This position is local to project sites and offers a hybrid work environment, combining field-based work with remote flexibility. We are looking for a motivated Environmental Scientist/Qualified ...

Staff Scientist II

Marysville, CA · On-site +1

$60K - $85K/yr

This position is local to project sites and offers a hybrid work environment, combining field-based work with remote flexibility. We are looking for a motivated Environmental Scientist/Qualified ...

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you'll do:

Staff Scientist II

San Ramon, CA · On-site +1

$60K - $85K/yr

This position is local to project sites and offers a hybrid work environment, combining field-based work with remote flexibility. We are looking for a motivated Environmental Scientist/Qualified ...

Staff Scientist II

Fresno, CA · On-site +1

$60K - $85K/yr

This position is local to project sites and offers a hybrid work environment, combining field-based work with remote flexibility. We are looking for a motivated Environmental Scientist/Qualified ...

Staff Scientist I

Marysville, CA · On-site +1

$50K - $60K/yr

... remote flexibility. This is an entry-level stormwater professional role and is a great fit for ... Bachelor's degree in environmental science, engineering, or related field * 0-2 years of experience ...

Staff Scientist I

Fresno, CA · On-site +1

$50K - $60K/yr

... remote flexibility. This is an entry-level stormwater professional role and is a great fit for ... Bachelor's degree in environmental science, engineering, or related field * 0-2 years of experience ...

Staff Scientist I

West Sacramento, CA · On-site +1

$50K - $60K/yr

... remote flexibility. This is an entry-level stormwater professional role and is a great fit for ... Bachelor's degree in environmental science, engineering, or related field * 0-2 years of experience ...

Staff Scientist I

San Ramon, CA · On-site +1

$50K - $60K/yr

... remote flexibility. This is an entry-level stormwater professional role and is a great fit for ... Bachelor's degree in environmental science, engineering, or related field * 0-2 years of experience ...

Staff Scientist III

West Sacramento, CA · On-site +1

$65K - $85K/yr

This position is remote , but must be local to Santa Rosa, Sacramento, Fresno, San Ramon, or ... discipline, sciences, or engineering * Minimum of 3 years of relevant experience supporting ...

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Remote Forensic Science information

See California salary details

$35K

$51.7K

$77.5K

How much do remote forensic science jobs pay per year?

As of Jul 3, 2026, the average yearly pay for remote forensic science in California is $51,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $54,800.00 per year, depending on experience, location, and employer.

Can you work-from-home as a forensic scientist?

Forensic scientists typically work in laboratories or crime scene environments, but some tasks such as data analysis, report writing, and case review can be performed remotely with secure access to laboratory databases and digital evidence. However, fieldwork and evidence collection generally require on-site presence due to the nature of the work and legal protocols.

Will AI replace forensic scientist?

AI can assist forensic scientists by analyzing large datasets, identifying patterns, and automating routine tasks, but it is unlikely to fully replace the role. Forensic science requires critical thinking, interpretation of evidence, and expert judgment that AI cannot replicate. Forensic scientists will continue to play a vital role in evidence analysis, often using AI tools to enhance accuracy and efficiency.

What are 5 potential jobs for forensic science?

Forensic science professionals can work as crime scene investigators, forensic analysts, forensic toxicologists, forensic odontologists, and forensic entomologists. These roles involve collecting, analyzing, and presenting evidence in criminal investigations, often requiring specialized training and laboratory skills. Employment can be found in law enforcement agencies, forensic laboratories, and medical examiner offices.

What types of cases or evidence do remote forensic scientists typically work on?

Remote forensic scientists often analyze digital evidence related to cybercrimes, fraud, data breaches, or other legal matters involving electronic devices. Their work may include processing and interpreting data from computers, mobile devices, and networks, as well as preparing detailed reports for law enforcement or court proceedings. Collaboration with legal teams, law enforcement, and other forensic professionals is common, typically conducted through secure online platforms. While some tasks can be independent, regular communication and documentation are essential to ensure chain of custody and data integrity. This role provides the opportunity to contribute directly to critical investigations from a flexible, remote work setting.

Can I be a CSI without being a cop?

A forensic science technician or crime scene investigator (CSI) can work in crime scene analysis without being a police officer, focusing on evidence collection, documentation, and lab analysis. While some CSIs are employed by law enforcement agencies and may have law enforcement training, many work as civilian specialists with relevant degrees in forensic science, biology, or chemistry, and do not need to be sworn officers.

What is a Remote Forensic Science job?

A Remote Forensic Science job involves analyzing forensic evidence, writing reports, and providing expert opinions from a remote location. These roles often include digital forensics, reviewing case files, or consulting on forensic investigations. Professionals may work for law enforcement, private firms, or legal teams, using specialized software and databases. Strong attention to detail, critical thinking, and knowledge of forensic methodologies are essential.

What are the key skills and qualifications needed to thrive in the Remote Forensic Science position, and why are they important?

To thrive in Remote Forensic Science, you need a strong background in forensic analysis, evidence handling, and a relevant degree in forensic science or a related field. Familiarity with digital forensic tools, case management software, and industry certifications such as Certified Forensic Computer Examiner (CFCE) or similar are highly valued. Excellent attention to detail, analytical thinking, and clear written communication are crucial for remote collaboration and accurate reporting. These skills ensure that forensic investigations are thorough, credible, and effectively coordinated across virtual teams.

What are the most commonly searched types of Forensic Science jobs in California? The most popular types of Forensic Science jobs in California are:
What job categories do people searching Remote Forensic Science jobs in California look for? The top searched job categories for Remote Forensic Science jobs in California are:
What cities in California are hiring for Remote Forensic Science jobs? Cities in California with the most Remote Forensic Science job openings:

Staff CADD Scientist

Chemify Ltd

San Francisco, CA • On-site, Remote

Full-time

Posted 20 days ago


Job description

About Chemify:
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity.
Our Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. This gives our computational scientists something rare: a direct, high-throughput bridge from in silico design to physically synthesised molecules, closing the design-make-test loop at a pace conventional drug discovery organisations cannot match.
Location: San Francisco (hybrid) or fully remote from Boston / San Diego
Travel: Regular travel to our Glasgow HQ / Chemifarm
The Role
We are seeking a Staff CADD Scientist to drive computer-aided drug design on Chemify's commercial programmes and computational platform. You will sit at the centre of a cross-disciplinary team - computational chemists, in-house and partner medicinal chemists, AI researchers, data engineers, and automation scientists - and shape how structure, simulation, and machine learning translate into molecules we actually make.
Your work sits at the interface between Chemify's platform and our commercial partners' drug discovery programmes. You will design and prioritise molecules for synthesis, work directly with partner chemists on medicinal-chemistry strategy - turning computational proposals into physically-made compounds.
If you are energised by solving complex scientific problems at the intersection of chemistry, physics, and AI - and by seeing your designs synthesised and tested within days rather than months - we'd love to welcome you to our team.
Key Responsibilities
  • Own the computational design approach on assigned programmes, from hit discovery through lead optimisation; partner with in-house and customer chemists on MPO and translate SAR into actionable hypotheses across DMTL cycles.
  • Deploy and advance methods across the CADD stack - docking, pharmacophore, shape and 3D-similarity, MD, FEP, QSAR modelling - choosing the right blend of physics- and ML-based approaches for each programmes.
  • Communicate reasoning, trade-offs, and recommendations to partner chemists and project leads.
  • Help productionise CADD methods into a reproducible, API-first toolkit; partner with Infrastructure on cost-effective GPU/HPC workflows.
  • Mentor computational chemists and junior CADD scientists; partner with the Head of Advanced Machine Learning on hiring and growth; act as the scientific interface with customers on commercial projects.
  • Represent Chemify's CADD capability externally - publications, conferences, and partner engagements where appropriate.

About You
You are a rare hybrid: a deeply credible computational chemist who is equally comfortable reasoning protein-ligand interactions and shipping code that runs in production. You care about getting real molecules made, not only writing elegant methods.
We expect you to bring:
  • PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics, or a closely related field, plus 8+ years of hands-on CADD experience in small-molecule drug discovery - including owning the computational strategy on active programmes.
  • Strong grounding in both structure- and ligand-based drug design - protein-ligand biophysics on one side, and pharmacophore, shape, and SAR-driven design on the other - with hands-on use of standard CADD stack (e.g. MOE, PyMOL, OpenMM / GROMACS / AMBER).
  • Familiarity with core drug discovery and medicinal chemistry principles - translating diverse assay readouts into design hypotheses - and a clear understanding of pharmacological principles to keep CADD output biologically relevant.
  • Working knowledge of modern deep learning for molecular design (GNNs, generative models, property prediction), and a clear sense of when these complement traditional CADD methods rather than replace them.
  • Strong Python and at least one core cheminformatics toolkit (e.g. RDKit, OpenEye); real experience inside the drug-discovery loop (SAR, MPO, DMTL cycles, lead optimisation, library enumeration); comfort with GPU-accelerated simulation and cloud/HPC workflows.
  • The ability to present computational reasoning to working chemists and partner scientists and a track record of technical leadership beyond your own projects.

Beneficial Skills
  • Hands-on experience with free energy perturbation (FEP+, OpenFE, or equivalent) in a production drug-discovery setting.
  • Practical use of generative chemistry methods (diffusion, autoregressive, RL-based design), including a clear-eyed view of their failure modes.
  • Familiarity with active learning, iterative DMTL design loops, and Bayesian optimisation applied to molecular design.
  • Experience building or integrating CADD tooling into API-first platforms (FastAPI, Docker, CI/CD), and proficiency in C/C++ / CUDA for high-performance computational chemistry.
  • A visible track record in the field - peer-reviewed publications, open-source contributions, or public projects that demonstrate your judgement on real CADD problems.

Why Join Chemify?
Impact:
You will directly shape the molecules Chemify designs and makes - at a company uniquely positioned to close the design-make-test loop through automated chemical synthesis at scale.
Autonomy:
Reporting to the Head of Advanced Machine Learning, you will own CADD strategy on your programmes, choose the methods and tools, and have meaningful influence over the computational platform that supports every project at Chemify.
Ambition:
We are a Series B deep-tech company investing in world-class infrastructure and tackling problems at the frontier of AI, robotics, and chemistry. You will have the resources, the data, and the mandate to do CADD in a way that isn't possible elsewhere.