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Live In Msc Bioinformatics Jobs in New York (NOW HIRING)

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

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Live In Msc Bioinformatics information

What jobs can you get with a live in MSc bioinformatics?

With a live-in MSc in bioinformatics, you can pursue roles such as bioinformatics analyst, research scientist, or computational biologist. These positions typically involve data analysis, programming skills, and knowledge of biological databases and tools like R, Python, or Linux environments.

What is the difference between Live In Msc Bioinformatics vs Live In Msc Data Science?

AspectLive In Msc BioinformaticsLive In Msc Data Science
Required CredentialsMaster's in Bioinformatics or related fieldMaster's in Data Science, Computer Science, or related field
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, consulting, research
Industry UsageHealthcare, genomics, pharmaceuticalsTechnology, finance, marketing
Common Search IntentBioinformatics roles, research positionsData analysis, machine learning roles

Live In Msc Bioinformatics focuses on biological data analysis, genomics, and healthcare applications, often in research or biotech settings. In contrast, Live In Msc Data Science covers broader data analysis skills applicable across industries like finance, tech, and marketing. Both roles require advanced degrees but serve different industry needs and environments.

Is a live in MSc bioinformatics worth it?

A live-in MSc in bioinformatics provides hands-on experience and access to labs, which can enhance practical skills and employability. However, the value depends on individual career goals, the program's reputation, and the job market demand for bioinformatics skills such as programming, data analysis, and knowledge of biological databases.

What are the most commonly searched types of Msc Bioinformatics jobs in New York?

The most popular types of Msc Bioinformatics jobs in New York are:

What cities in New York are hiring for Live In Msc Bioinformatics jobs?

Cities in New York with the most Live In Msc Bioinformatics job openings:

Bioinformatics Software Engineer

micro1 AI

Newark, NJ • Remote

$80 - $110/hr

Part-time

Posted 13 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.