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Remote Biology Coding Jobs in New York (NOW HIRING)

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... Data Analysis - Conduct statistical analysis and produce maintainable and reproducible code to ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... Data Analysis - Conduct statistical analysis and produce maintainable and reproducible code to ...

All JobsBiology Coding JobsRemote Biology Coding JobsRemote Biology Coding Jobs in New York

Remote Biology Coding information

What is remote biology coding?

Remote biology coding refers to applying programming and computational techniques to solve biological problems while working from a location outside of a traditional office or laboratory. Professionals in this field use coding languages like Python or R to analyze biological data, develop models, or automate research processes. Remote opportunities in biology coding are common in areas such as bioinformatics, genomics, and data analysis, allowing scientists and coders to collaborate on research projects from anywhere in the world.

What is the difference between Remote Biology Coding vs Remote Bioinformatics Technician?

AspectRemote Biology CodingRemote Bioinformatics Technician
Required CredentialsProgramming skills, biology knowledge, sometimes degrees in bioinformatics or related fieldsBiology or bioinformatics degree, basic programming skills often preferred
Work EnvironmentRemote, often collaborative with research teams or biotech companiesRemote or on-site, supporting data analysis and laboratory data management
Industry UsageBiotech, pharmaceuticals, research institutionsResearch labs, healthcare, biotech companies
Common Search/ComparisonYesYes

Remote Biology Coding focuses on writing and maintaining code for biological data analysis, requiring programming expertise. Remote Bioinformatics Technicians support data processing and analysis, often with similar educational backgrounds but may have less emphasis on coding. Both roles are vital in biotech and research industries, but Remote Biology Coding emphasizes software development skills, while Remote Bioinformatics Technicians focus on data management and analysis support.

How do professionals in remote biology coding typically collaborate with research or laboratory teams?

Remote biology coding professionals often work closely with research scientists, data analysts, and laboratory personnel through virtual tools such as video conferencing, project management platforms, and shared code repositories. Regular meetings and collaborative platforms ensure that code development aligns with experimental objectives and data requirements. Effective communication is key, as remote coders may need to clarify data formats, discuss analysis methods, and troubleshoot computational issues with team members across different time zones. Building strong virtual relationships helps facilitate smooth project progress and ensures deliverables meet the scientific goals of the team.

What are the key skills and qualifications needed to thrive as a Remote Biology Coder, and why are they important?

To thrive as a Remote Biology Coder, you need a strong background in biology, bioinformatics, or a related field, coupled with proficiency in programming languages such as Python or R. Familiarity with bioinformatics tools, data analysis platforms, and version control systems like Git is typically required. Analytical thinking, attention to detail, and effective written communication are crucial soft skills for interpreting biological data and collaborating remotely. These skills ensure accurate coding, reliable data analysis, and efficient teamwork in virtual, interdisciplinary research environments.
What are popular job titles related to Remote Biology Coding jobs in New York? For Remote Biology Coding jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Biology Coding jobs in New York look for? The top searched job categories for Remote Biology Coding jobs in New York are:
What cities in New York are hiring for Remote Biology Coding jobs? Cities in New York with the most Remote Biology Coding job openings:
Remote Biology Coding jobs near you

Scientist- Bioinformatics R&D -REMOTE

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 24 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Scientist- Bioinformatics R&D tojoin our team. The Bioinformatics Scientist leads translational bioinformatics and product development for NGS pipelines as part of the R&D Bioinformatics department. This scientist is an integral part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data from reproductive health, cancer, and other diseases. As part of a development team of engineers and scientists, this scientist will translate research prototypes into production-quality, scalable pipeline products used by a variety of clinical diagnostics and research projects across many teams at Sema4. This scientist will serve as an authority in these products to other users and teams and optimize them to serve Sema4 data science needs.
RESPONSIBILITIES
  • Design, develop, and test NGS pipelines for clinical tests and research projects in oncology, reproductive health, and other indications.
  • Lead or support bioinformatics projects to translate NGS results, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to features and optimizations of clinical utility.
  • Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, transcript isoforms, RNA abundance, RNA editing and modification) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays.
  • Work with wet labs and clinical teams to plan and design experiments to generate such data, and analyze this data.
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs.

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
  • Hands-on experience working with NGS tools with high proficiency, especially for sequence analysis and expression analysis
  • Strong coding proficiency in R, Python, and SQL programming languages in a Linux environment.
  • Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
  • High self-motivation, great ability to work in both multiple-task and independent fashions.
  • Good understanding of molecular, cell, and developmental biology, especially where relevant to cancer genomics, oncology, or endocrine neoplasms, and especially molecular cloning and NGS library preparation methodologies.
  • Developing code using distributed version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Using or developing genome browsers or other tools for visualization of genomic datasets.

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