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From Home Computational Biochemistry Jobs (NOW HIRING)

... from computational hit to experimental hit to lead to drug candidate * Co-author provisional patents and peer-reviewed research papers * Progress a virtual hit to a biochemical/cellular hit

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From Home Computational Biochemistry information

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$74

How much do from home computational biochemistry jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for from home computational biochemistry in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a from home computational biochemist?

A From Home Computational Biochemist is a scientist who uses computer-based techniques and software to study biological molecules and processes, all while working remotely from their home. These professionals use simulations, modeling, and data analysis to understand the structure and function of proteins, enzymes, and other biomolecules. Their work supports drug discovery, biotechnology research, and academic studies, often collaborating with teams online. This role requires strong computational skills, knowledge of biochemistry, and the ability to work independently in a virtual environment.

What are the key skills and qualifications needed to thrive as a from home computational biochemist?

To thrive as a From Home Computational Biochemist, you need a strong background in biochemistry, molecular biology, and computational modeling, typically supported by an advanced degree in a related field. Expertise in software such as molecular dynamics packages (e.g., GROMACS, AMBER), scripting languages (like Python), and familiarity with high-performance computing environments are essential. Strong analytical thinking, problem-solving skills, and the ability to communicate complex results clearly are valuable soft skills for this remote role. These skills ensure accurate research outcomes, effective collaboration, and the ability to independently drive scientific projects from a remote setting.

How do from home computational biochemists typically collaborate with laboratory teams and other researchers?

Remote computational biochemists often work closely with experimentalists, data scientists, and other team members through virtual platforms such as video conferencing, collaborative software, and shared databases. Regular online meetings and project management tools help align computational predictions with experimental goals. Effective communication is key to ensuring that computational models and simulations inform lab experiments and vice versa, enabling a seamless integration of in silico and in vitro efforts. Building strong digital relationships and proactively sharing updates are essential for success in a distributed research environment.

What is the difference between From Home Computational Biochemistry vs From Home Bioinformatics Specialist?

AspectFrom Home Computational BiochemistryFrom Home Bioinformatics Specialist
Required CredentialsDegree in Biochemistry, Computational Biology, or related field; knowledge of molecular modelingDegree in Bioinformatics, Computer Science, or related; programming skills in Python, R
Work EnvironmentResearch labs, academic institutions, or remote research projectsData analysis firms, research institutions, or remote bioinformatics projects
Industry UsagePharmaceuticals, biotech, academic researchGenomics, personalized medicine, biotech companies
Common Search IntentResearch-focused, molecular modeling, drug discoveryData analysis, genome sequencing, data pipelines

While both roles involve computational work in biological sciences, From Home Computational Biochemistry emphasizes molecular modeling and biochemical research, whereas From Home Bioinformatics Specialist focuses on data analysis and genome data processing. Both require strong computational skills and relevant degrees but serve different industry needs.

More about From Home Computational Biochemistry jobs
What cities are hiring for From Home Computational Biochemistry jobs? Cities with the most From Home Computational Biochemistry job openings:
What are the most commonly searched types of Computational Biochemistry jobs? The most popular types of Computational Biochemistry jobs are:
What states have the most From Home Computational Biochemistry jobs? States with the most job openings for From Home Computational Biochemistry jobs include:
What job categories do people searching From Home Computational Biochemistry jobs look for? The top searched job categories for From Home Computational Biochemistry jobs are:
Infographic showing various From Home Computational Biochemistry job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Biologist - Spatial Multi-Omics

Bayer

Cambridge, MA

$106K - $159K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Bayer rating

8.3

Company rating: 8.3 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us.

If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Computational Biologist - Spatial Multi-Omics Bayer has an opening for a Computational Biologist - Spatial Multi-Omics to join our Translational Sciences Cardiovascular Renal Team based at the Bayer Innovation Campus in the heart of Kendall Sq, Cambridge, MA. We are seeking a highly skilled Bioinformatics Scientist to join our team, focusing on the development and maintenance of scalable pipelines for spatial and deep visual multi-omics analysis.

The successful candidate will play a crucial role in integrating various omics data types to drive insights for target discovery, biomarker development, and mechanism-of-action studies. YOUR TASKS AND RESPONSBILITIES The primary responsibilities of the Computational Biologist - Spatial Multi-Omics are to: Build and maintain scalable pipelines for spatial and deep visual multi-omics analysis, including data ingestion, QC, normalization, batch correction, feature extraction, and annotation from mass-spectrometry and transcriptomics platforms. Integrate spatial metabolomics/proteomics with transcriptomics, genomics, and histopathology images to deliver multi-modal insights for target discovery, biomarker development, and mechanism-of-action studies.

Evaluate, benchmark, and optimize tools and workflows; contribute to internal software (R/Python) and visualization frameworks to streamline spatial omics analytics. Perform spatially aware statistical analyses to identify regulated molecular markers across tissue regions, cell types, and phenotypes Develop and apply algorithms for spatial segmentation, clustering, co-localization, neighborhood analysis, and spatial correlation; conduct pathway/network analyses. Collaborate with experimental biologists, pathologists, chemists, and clinicians to shape hypotheses, design studies, and translate findings into decisions for research programs.

Document pipelines and analyses to ensure reproducibility, compliance, and knowledge transfer; prepare clear visualizations and narratives for internal reviews, publications, and external collaborations. Partner with data engineering/IT to manage large spatial datasets, define metadata standards, and implement versioning, governance, and access control best practices. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required qualifications: PhD in Computational Biology, Bioinformatics, Systems Biology, Biostatistics, Computer Science, or related field; or MSc with substantial relevant experience.

Hands-on experience analyzing mass spectrometry and transcriptomics spatial data, including QC, normalization, feature extraction, and statistical interpretation. Background in image analysis and spatial statistics (segmentation, registration, spatial point patterns, neighborhood analysis). Exposure to machine learning or deep learning for omics or imaging data.

Familiarity with MS and spatial tools like MZmine, MaxQuant, Proteome Discoverer, Skyline, OpenMS, etc.; and spatial frameworks like Squidpy, Giotto, Seurat/Spatial, Napari, ImageJ/Fiji, CellProfiler, etc. Experience with pathway/network analysis (e.g., KEGG, Reactome, MetaboAnalyst, Cytoscape). Proficiency in Python and/or R; comfort with Linux/Unix environments, high-performance computing, and version control (Git)

Demonstrated ability in high-dimensional data analysis, statistics, and reproducible pipeline development. Solid understanding of molecular biology, biochemistry, and metabolism to interpret results and design analyses. Strong communication skills; experience collaborating within interdisciplinary teams and presenting complex results to diverse audiences Employees can expect to be paid a salary between $106,400.00 - $159,600.00

Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 08/17/2026 YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger.

Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S

Executive Orders. Bayer is an E-Verify Employer. Location: United States : Massachusetts : Cambridge Division: Pharmaceuticals Reference Code: 868556 Contact Us Email: hrop_usa@bayer.com


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About Bayer

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Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to help people and planet thrive by supporting efforts to address the unprecedented global challenges presented by a growing and aging global population. At Bayer, we’re committed to drive sustainable development and generate a positive impact with our businesses. Through bold ideas and unprecedented insights, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Whippany, NJ, US