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Remote Biochemistry Jobs in Moss Point, MS (NOW HIRING)

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

Remote Biochemistry information

See Moss Point, MS salary details

$64.7K

$123.7K

How much do remote biochemistry jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote biochemistry in Moss Point, MS is $121,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $122,900.00 per year, depending on experience, location, and employer.

What are the main challenges of working as a biochemist in a remote setting?

Working as a remote biochemist often means adapting traditional laboratory tasks to a virtual environment, which may involve analyzing data, designing experiments, or collaborating with onsite teams from a distance. One common challenge is maintaining effective communication and coordination with lab-based colleagues when you are not physically present. To overcome these challenges, remote biochemists frequently use video conferencing, project management software, and shared databases to stay aligned with ongoing research and project goals. Success in this role requires strong digital collaboration skills, proactive problem-solving, and the ability to independently manage time and tasks.

What is remote biochemistry?

A Remote Biochemistry job involves conducting biochemical research, analysis, or lab-related tasks from a remote location, often using digital tools and virtual collaboration platforms. Professionals in this role may analyze data, write reports, assist in research projects, or develop biochemical models without needing to be physically present in a lab. Some positions may require access to remote lab facilities, while others focus on computational biochemistry, bioinformatics, or scientific consulting. Strong communication skills and proficiency with specialized software are essential for success in this field.

What are the key skills and qualifications needed to thrive in remote biochemistry?

To excel in a Remote Biochemistry role, you typically need an advanced degree in biochemistry or a related field, strong analytical and research skills, and a solid background in laboratory techniques. Familiarity with digital lab data management systems, statistical analysis software, and virtual collaboration tools is important, along with any relevant certifications in laboratory safety or data handling. Outstanding attention to detail, self-motivation, and effective written communication help remote biochemists manage projects and collaborate with dispersed teams. These abilities ensure accurate research outcomes, seamless remote coordination, and ongoing contributions to scientific projects despite physical distances.

What cities near Moss Point, MS are hiring for Remote Biochemistry jobs? Cities near Moss Point, MS with the most Remote Biochemistry job openings:
Infographic showing various Remote Biochemistry job openings in Moss Point, MS as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,189 per year, or $58.3 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Mobile, AL • Remote

$80 - $110/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.