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Remote Bioinformatics Python Jobs in New York (NOW HIRING)

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ... Master's degree in Bioinformatics or related fields. LOCATION: Hybrid - remote + on-site Additional ...

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Remote Bioinformatics Python information

What is the difference between Remote Bioinformatics Python vs Remote Genomic Data Analyst?

AspectRemote Bioinformatics PythonRemote Genomic Data Analyst
Required SkillsPython, bioinformatics tools, data analysisGenomic data interpretation, statistical analysis, Python (optional)
Work EnvironmentResearch labs, biotech companies, academiaHealthcare institutions, research organizations, biotech firms
Common CertificationsBioinformatics certifications, Python programmingBioinformatics or genomics certifications, data analysis skills

Remote Bioinformatics Python roles focus on developing and applying Python-based tools for biological data analysis, often requiring programming expertise. Remote Genomic Data Analysts interpret genomic datasets, utilizing statistical and bioinformatics skills. Both roles are prevalent in biotech and research industries, but Bioinformatics Python positions emphasize coding, while Genomic Data Analysts focus more on data interpretation and reporting.

What is a Remote Bioinformatics Python job?

A Remote Bioinformatics Python job involves using the Python programming language to analyze biological data, such as DNA, RNA, or protein sequences, from a remote location. Professionals in this role develop algorithms, scripts, and tools to process and interpret complex datasets, often supporting research in genomics, drug discovery, and healthcare. Working remotely allows bioinformaticians to collaborate with global teams and contribute to scientific projects without needing to relocate. These roles typically require strong programming skills, knowledge of bioinformatics concepts, and experience with biological databases.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Python professional, and why are they important?

To thrive as a Remote Bioinformatics Python professional, you need a strong background in biology, statistics, and computational analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in Python programming, familiarity with bioinformatics tools (such as Biopython, pandas, and NumPy), and experience using platforms like Git and Linux are essential. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills ensure that you can analyze complex biological data accurately, share insights with interdisciplinary teams, and contribute effectively to research or clinical projects from a remote setting.

How do remote Bioinformatics Python professionals typically collaborate with research teams and handle data security?

Remote Bioinformatics Python professionals often work closely with interdisciplinary research teams, including biologists, statisticians, and software engineers. Collaboration is facilitated through regular video meetings, shared code repositories (like GitHub), and project management tools such as Jira or Trello. Data security is paramount in this field, so professionals must follow strict protocols for accessing and transferring sensitive biological data, often using encrypted channels and adhering to institutional or governmental compliance standards.
What are popular job titles related to Remote Bioinformatics Python jobs in New York? For Remote Bioinformatics Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Python jobs in New York look for? The top searched job categories for Remote Bioinformatics Python jobs in New York are:
What cities in New York are hiring for Remote Bioinformatics Python jobs? Cities in New York with the most Remote Bioinformatics Python job openings:
Remote Bioinformatics Python jobs near you

Bioinformatics Engineer - LIMS

Omni Inclusive

Secaucus, NJ • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Role - Bioinformatics Engineer - LIMS Location - Secaucus, NJ(Remote) Responsibilities • Work extensively within our cloud-based StarLIMS system to develop and configure frontend and backend solutions that further automate our scientific and technical processes. • Develop new or modify existing code using StarLIMS scripting languages, HTML5, Jscript, .NET libraries, and Python following industry best practices. • Develop scientific reports using SQL, Crystal Reports, and StarLIMS QBE.

• Gather and analyze requirements provided by cross functional stakeholders and translate into functional requirements that allow for the development of technical solutions. • Manage workload in Jira and provide timely and accurate status updates on project-based issue tickets that are either assigned or self-assigned. • Both individually and as a part of a team, troubleshoot, debug, and test technical solutions • Provide ongoing support and training to laboratory staff and stakeholders on LIMS usage and best practices.

• Respectfully and clearly communicate in English both textually and verbally with stakeholders. Qualifications • Bachelors' or greater degree in Bioinformatics, Computer Science or other STEM-related disciplines. • Minimum 3 years of experience in the development of custom code using scripting and/or programming languages, specifically experience with SQL, Python and Javascript.

• Minimum 3 years of experience with relational databases and reporting tools, including Crystal Reports. • Experience with system integration techniques including REST APIs, web services, and middleware. • Professional experience with a bug/issue tracking system.

• Understanding of software design controls and SDLC. • Ability to work effectively with minimal direct supervision in a multiple discipline environment. • Ability to manage multiple tasks and assignments simultaneously.

• Ability to adapt quickly to changing priorities in a fast-paced environment. • Excellent analytical, troubleshooting and problem-solving abilities. Proficient in diagnosing and providing solutions for bugs and issues.

• Excellent communication and interpersonal skills, both verbal and written in English, with the ability to translate technical information for non-technical stakeholders. • Certificates in IT related topics are a plus.

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