Job Summary

InfoTech Solutions is seeking a highly analytical and innovative Biotech Data Scientist to support advanced genomic research initiatives in a fully remote environment. In this role, you will work at the intersection of biotechnology, data science, and computational biology to analyze large-scale genomic datasets and uncover meaningful biological insights.

The ideal candidate will collaborate with bioinformaticians, researchers, and cross-functional teams to design predictive models, develop data pipelines, and support breakthrough discoveries in genomics, precision medicine, and biotechnology. This position is perfect for professionals passionate about applying machine learning, statistical modeling, and big data analytics to solve complex biological challenges.

Key Responsibilities

• Analyze large-scale genomic, transcriptomic, and proteomic datasets to identify patterns and biological insights.

• Develop and implement machine learning and statistical models for genomic research and predictive biology.

• Design scalable data pipelines and workflows for processing high-throughput sequencing data.

• Collaborate with bioinformaticians, laboratory scientists, and research teams to translate data findings into actionable biological insights.

• Perform data cleaning, transformation, and feature engineering for biological datasets.

• Visualize complex genomic data and present findings to scientific and non-technical stakeholders.

• Support research initiatives related to precision medicine, genetic analysis, and disease modeling.

• Maintain high standards for data quality, reproducibility, and scientific rigor.

• Contribute to technical documentation, research reports, and potential scientific publications.

Required Skills and Qualifications

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

• Strong programming skills in Python, R, or similar data science languages.

• Experience working with genomic datasets such as DNA sequencing, RNA-seq, or variant analysis.

• Knowledge of machine learning frameworks and statistical modeling techniques.

• Familiarity with bioinformatics tools and genomic data formats (FASTQ, BAM, VCF).

• Experience with data visualization tools and libraries.

• Strong analytical thinking and problem-solving abilities.

• Excellent written and verbal communication skills.

Experience

• 3+ years of experience in data science, bioinformatics, or computational biology.

• Hands-on experience with genomic or biomedical datasets.

• Experience with cloud computing platforms or high-performance computing environments is a plus.

• Prior involvement in research projects or biotech industry applications is highly desirable.

Working Hours

• Fully remote position.

• Flexible working schedule with coordination across global research teams.

• Standard workweek: 40 hours, Monday–Friday.

• Occasional meetings may be scheduled to align with international collaborators.

Knowledge, Skills, and Abilities

• Strong understanding of genomics, molecular biology, and computational analysis techniques.

• Ability to interpret complex biological data and translate findings into meaningful insights.

• Proficiency in statistical analysis, predictive modeling, and algorithm development.

• Ability to manage large datasets and optimize computational workflows.

• Strong collaboration skills for working with multidisciplinary teams.

• Attention to detail and commitment to scientific accuracy.

Benefits

• Competitive salary and performance-based incentives.

• Fully remote work environment with flexible scheduling.

• Health, dental, and wellness benefits (where applicable).

• Professional development programs and research learning opportunities.

• Access to cutting-edge genomic research projects.

• Collaborative and innovation-driven work culture.

• Paid time off and company-recognized holidays.

Why Join InfoTech Solutions

At InfoTech Solutions, we believe that data-driven innovation can transform the future of biotechnology and healthcare. By joining our team, you will work with talented scientists and engineers to push the boundaries of genomic research and precision medicine.

We foster a collaborative environment that encourages creativity, continuous learning, and meaningful contributions to real-world scientific advancements. If you are passionate about using data science to unlock biological insights and improve global health outcomes, this is the opportunity for you.

How to Apply

Interested candidates are invited to submit their application including:

• Updated resume or CV

• Cover letter highlighting relevant genomic research or data science experience

• Portfolio or examples of previous research or data science projects (if available)

Applications will be reviewed on a rolling basis. Qualified candidates will be contacted for the next stage of the recruitment process.