Job Summary

InfoTech Solutions is seeking a highly analytical and detail-oriented Biotech Data Scientist to support advanced genomic research initiatives in a fully remote capacity. This role is ideal for a professional who combines strong computational expertise with a solid understanding of biotechnology and genomics. The successful candidate will work cross-functionally with research scientists, bioinformaticians, and product teams to extract meaningful insights from complex biological datasets and help drive innovation in precision medicine and genomic analytics.

Key Responsibilities

• Analyze large-scale genomic and multi-omics datasets using statistical and machine learning techniques.

• Develop, validate, and optimize predictive models for biological and clinical applications.

• Design and maintain robust data pipelines for genomic data processing and integration.

• Collaborate with research and engineering teams to translate scientific questions into data-driven solutions.

• Perform data cleaning, normalization, and quality control of sequencing data.

• Visualize complex biological data and communicate findings to both technical and non-technical stakeholders.

• Stay current with emerging trends in bioinformatics, computational biology, and AI in life sciences.

• Contribute to documentation, reproducible workflows, and best practices in data science.

Required Skills and Qualifications

• Master’s or PhD in Bioinformatics, Computational Biology, Data Science, Biotechnology, or related field.

• Strong programming skills in Python and/or R.

• Experience with genomic data formats (FASTQ, BAM, VCF, etc.).

• Proficiency in machine learning frameworks and statistical analysis.

• Familiarity with cloud platforms (AWS, GCP, or Azure) and high-performance computing environments.

• Solid understanding of molecular biology and genomics concepts.

• Experience with data visualization tools and libraries.

• Excellent written and verbal communication skills in English.

Experience

• Minimum 3–6 years of relevant experience in biotech, genomics, or life sciences data science.

• Proven track record working with next-generation sequencing (NGS) data.

• Prior remote collaboration experience is preferred.

• Experience in healthcare, pharma, or precision medicine environments is an advantage.

Working Hours

• Fully remote position with flexible scheduling.

• Preference for overlap with standard business hours (Monday–Friday).

• Occasional meetings across global time zones may be required.

Knowledge, Skills, and Abilities

• Strong analytical and problem-solving mindset.

• Ability to manage large, complex datasets efficiently.

• High attention to scientific accuracy and data integrity.

• Capability to work independently while contributing to distributed teams.

• Strong organizational and time-management skills.

• Curiosity and continuous learning attitude in a fast-evolving biotech landscape.

Benefits

• Competitive salary package.

• Remote work flexibility.

• Health and wellness benefits (as applicable by region).

• Access to cutting-edge genomic research projects.

• Professional development and training support.

• Collaborative and innovation-driven work culture.

• Paid time off and holidays.

Why Join

Joining InfoTech Solutions means contributing to impactful genomic research that advances healthcare and precision medicine. You will work with a forward-thinking team at the intersection of biotechnology and artificial intelligence, using modern tools and scalable infrastructure. The organization values innovation, scientific rigor, and professional growth, offering an environment where your work directly influences meaningful scientific outcomes.

How to Apply

Interested candidates should submit the following:

• Updated resume/CV

• Brief cover letter highlighting relevant genomic data science experience

• Links to publications, GitHub, or portfolio (if available)

Applications should be submitted through the company’s official careers portal or designated recruitment channel. Shortlisted candidates will be contacted for the next steps in the selection process.