2 Senior Data Scientist Genomics Research jobs in whatjobs
Senior Data Scientist, Genomics Research
Posted 4 days ago
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Job Description
Our client is a cutting-edge research organization seeking a Senior Data Scientist with specialized expertise in genomics and bioinformatics. This role is critical in analyzing large-scale genomic datasets to drive novel discoveries and advance our understanding of complex biological systems. As a fully remote position, you will leverage your advanced analytical skills to develop and implement sophisticated algorithms and statistical models. Your work will involve processing, analyzing, and interpreting diverse genomic data, including next-generation sequencing (NGS) data, to identify patterns, generate hypotheses, and contribute to groundbreaking research projects. You will collaborate closely with a global team of researchers, bioinformaticians, and clinicians, using virtual collaboration tools to share insights and drive project momentum. This position requires a deep understanding of statistical genetics, machine learning, and programming languages commonly used in bioinformatics (e.g., Python, R). You will be instrumental in designing data analysis pipelines, ensuring data integrity, and visualizing complex results for publication and presentation. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Bioinformatics, Computer Science, Statistics, or a related discipline, coupled with extensive experience in genomic data analysis. This is a unique opportunity to work on impactful research initiatives from the comfort of your remote workspace, contributing to advancements in (mention a specific area of genomics like cancer research, infectious diseases, or personalized medicine). The ability to translate complex biological questions into tractable computational problems and vice versa is paramount. You will be expected to stay current with the latest advancements in computational biology and data science techniques. This role demands a high degree of autonomy, intellectual curiosity, and a passion for scientific exploration, all while working remotely from **Thika, Kiambu, KE**. We are looking for a thought leader who can guide research directions through rigorous data-driven analysis and contribute significantly to our client's scientific endeavors. Your role will involve mentoring junior scientists and contributing to the strategic direction of our data science initiatives. The ability to work independently and manage multiple projects simultaneously is essential.
Responsibilities:
Qualifications:
Responsibilities:
- Design and implement advanced computational and statistical methods for genomic data analysis.
- Develop and maintain reproducible data analysis pipelines for large-scale genomic datasets.
- Perform in-depth analysis of sequencing data (e.g., WGS, WES, RNA-Seq) to identify genetic variations and functional associations.
- Collaborate with researchers to define research questions and experimental designs.
- Apply machine learning techniques to uncover complex biological patterns and predictive models.
- Visualize and interpret complex genomic data, presenting findings to scientific audiences.
- Contribute to manuscript preparation and grant writing.
- Mentor junior data scientists and bioinformaticians.
- Ensure data quality, integrity, and security.
- Stay updated on the latest advancements in genomics, bioinformatics, and data science.
Qualifications:
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
- Proven experience in analyzing large-scale genomic datasets (e.g., GWAS, NGS).
- Proficiency in programming languages such as Python or R and associated bioinformatics libraries.
- Strong understanding of statistical genetics, population genetics, and machine learning.
- Experience with cloud computing platforms (e.g., AWS, GCP) and big data technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for remote teamwork.
- Ability to work independently and manage projects effectively.
- Publication record in peer-reviewed journals is a plus.
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Senior Data Scientist - Genomics Research
Posted 5 days ago
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Job Description
Our client, a leading biomedical research institute at the forefront of genetic discovery, is seeking a Senior Data Scientist to lead their fully remote bioinformatics and genomics data analysis efforts. This role is pivotal in uncovering insights from vast datasets, including whole-genome sequencing, transcriptomics, and epigenomics, to advance our understanding of human health and disease. The ideal candidate will possess a strong background in statistical analysis, machine learning, and computational biology, with demonstrated experience in handling and interpreting large-scale biological data. You will be responsible for developing sophisticated analytical pipelines, applying advanced statistical and ML models, and collaborating with biologists and clinicians to drive research discoveries. This is a unique opportunity to contribute to groundbreaking scientific advancements from a fully remote setting.
Responsibilities:
Responsibilities:
- Design and implement advanced statistical and machine learning models for analyzing complex genomic and biological datasets.
- Develop robust bioinformatics pipelines for processing and interpreting next-generation sequencing (NGS) data.
- Perform exploratory data analysis to identify patterns, correlations, and significant findings in large biological datasets.
- Collaborate closely with geneticists, molecular biologists, and clinicians to define research questions and translate them into data-driven approaches.
- Visualize and communicate complex analytical results effectively to both technical and non-technical audiences.
- Stay abreast of the latest developments in genomics, bioinformatics, machine learning, and computational biology.
- Contribute to the development of new research methodologies and analytical tools.
- Manage data integrity, quality control, and secure storage of sensitive research data.
- Mentor junior data scientists and bioinformaticians on the team.
- Contribute to grant writing and the publication of research findings in peer-reviewed journals.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data science or bioinformatics, with a focus on genomics and molecular biology data.
- Proven expertise in statistical analysis, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages commonly used in bioinformatics, such as Python (with libraries like pandas, NumPy, scikit-learn) and R.
- Experience with NGS data analysis tools and platforms (e.g., GATK, Samtools, Bioconductor).
- Familiarity with cloud computing environments (e.g., AWS, Google Cloud) and big data technologies is advantageous.
- Strong understanding of biological pathways, genetic variation, and functional genomics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, interdisciplinary team.
- Demonstrated ability to manage research projects and deliver results.
This advertiser has chosen not to accept applicants from your region.
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