Job Summary
InfoTech Solutions is seeking a highly analytical and innovative Biotech Data Scientist to join our remote genomic research team. In this role, you will work at the intersection of biotechnology, computational biology, and advanced data science to uncover meaningful insights from complex genomic and biological datasets. You will collaborate with multidisciplinary teams including bioinformaticians, molecular biologists, software engineers, and clinical researchers to develop data-driven solutions that support scientific discovery and translational research.
This is an exciting opportunity for professionals who are passionate about leveraging machine learning, statistical modeling, and biological data analysis to advance precision medicine, genomics, and biotechnology innovation.
Job Summary
As a Biotech Data Scientist, you will design, implement, and optimize computational models to analyze large-scale genomic, transcriptomic, proteomic, and clinical datasets. You will contribute to the development of predictive algorithms and biological data pipelines that support cutting-edge research initiatives.
Key Responsibilities
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Analyze high-dimensional genomic and biological datasets using advanced statistical and computational techniques.
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Develop predictive models and machine learning algorithms for biomarker discovery, disease prediction, and therapeutic research.
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Design and maintain scalable bioinformatics workflows for sequencing and genomic analysis.
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Collaborate with cross-functional scientific teams to translate biological questions into computational solutions.
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Perform data preprocessing, normalization, quality control, and validation of experimental datasets.
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Integrate multi-omics datasets for comprehensive biological interpretation.
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Generate scientific reports, visualizations, and presentations for research stakeholders.
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Stay informed about emerging trends in genomics, computational biology, and artificial intelligence.
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Contribute to research publications, white papers, and patent-related projects where applicable.
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Ensure data integrity, reproducibility, and compliance with regulatory standards.
Required Skills and Qualifications
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Master’s or Ph.D. in Bioinformatics, Data Science, Computational Biology, Genomics, Biotechnology, or a related field.
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Strong programming experience in Python, R, or similar analytical platforms.
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Experience with machine learning frameworks and statistical modeling.
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Proficiency in genomic sequencing analysis and biological database management.
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Experience with cloud computing environments and scalable data architectures.
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Strong understanding of molecular biology and genetics principles.
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Excellent communication and scientific documentation skills.
Experience
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3–7 years of professional experience in biotech, pharmaceutical, healthcare research, or genomics-based organizations.
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Proven experience working with next-generation sequencing (NGS) datasets.
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Hands-on experience in multi-omics analysis and computational biology research.
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Experience publishing scientific research or contributing to research-driven projects is preferred.
Working Hours
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Full-time remote position.
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40 hours per week.
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Flexible scheduling with collaboration overlap across global research teams.
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Occasional participation in virtual scientific meetings, workshops, and conferences.
Knowledge, Skills, and Abilities
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Deep understanding of Machine Learning applications in life sciences.
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Strong knowledge of genomic pipelines, statistical inference, and predictive analytics.
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Ability to interpret complex biological patterns from large datasets.
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Expertise in data visualization and scientific storytelling.
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Strong problem-solving and critical-thinking capabilities.
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Ability to work independently in a remote research environment.
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High attention to detail and commitment to scientific accuracy.
Benefits
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Competitive compensation package.
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Remote work flexibility.
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Health and wellness benefits.
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Professional development and research funding opportunities.
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Access to advanced computational resources and scientific tools.
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Conference sponsorship and publication support.
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Paid time off and company holidays.
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Collaborative global research culture.
Why Join InfoTech Solutions?
At InfoTech Solutions, you will have the opportunity to contribute to groundbreaking discoveries in genomics and biotechnology. Our organization values scientific curiosity, innovation, collaboration, and continuous learning. By joining our team, you will help shape the future of personalized medicine and next-generation biological research.
How to Apply
Interested candidates should submit the following:
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Updated resume/CV
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Cover letter highlighting relevant biotech and data science experience
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Research publications or project portfolio (if available)
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GitHub or technical portfolio links (optional)
Qualified applicants will be contacted for technical assessment and interview scheduling.