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Live In Msc Bioinformatics Jobs in Texas (NOW HIRING)

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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 Texas? The most popular types of Msc Bioinformatics jobs in Texas are:
What cities in Texas are hiring for Live In Msc Bioinformatics jobs? Cities in Texas with the most Live In Msc Bioinformatics job openings:

AI Training Specialist - Life Sciences

micro1 AI

Irving, TX • Remote

$90 - $120/hr

Part-time

Posted 7 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.