2 Lead Research Scientist Computational Biology jobs in whatjobs
Lead Research Scientist - Computational Biology
Posted 12 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Lead Research Scientist specializing in Computational Biology to direct cutting-edge research from their remote R&D hub. This senior position involves leveraging advanced computational techniques to analyze complex biological datasets, unravel disease mechanisms, and identify novel therapeutic targets. You will lead a team of computational biologists and bioinformaticians, fostering innovation and driving research projects from conception through to significant discoveries. The role requires a profound understanding of genomics, proteomics, systems biology, and sophisticated data analysis methodologies, all executed within a fully remote, collaborative environment.
Responsibilities:
Responsibilities:
- Lead the design and execution of computational biology research projects, including the analysis of large-scale genomic, transcriptomic, proteomic, and metabolomic data.
- Develop and implement novel computational algorithms, statistical models, and bioinformatics pipelines to address complex biological questions.
- Interpret complex biological data, identify key insights, and translate findings into actionable hypotheses and research directions.
- Mentor and guide a team of computational biologists, bioinformaticians, and data scientists.
- Collaborate closely with experimental biologists, chemists, and clinicians to integrate computational findings with experimental validation.
- Stay current with the latest advancements in computational biology, bioinformatics, machine learning, and relevant biological fields.
- Present research findings to internal teams, scientific advisory boards, and at international conferences.
- Contribute to the intellectual property strategy by identifying patentable discoveries.
- Manage project timelines, resources, and budgets effectively within a remote team structure.
- Ensure the rigorous application of statistical methods and data quality control.
- Promote best practices in computational research, data management, and reproducibility.
- Contribute to the strategic vision for computational biology research within the organization.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in computational biology or bioinformatics, with a significant focus on leading research projects.
- Proven expertise in analyzing large-scale biological datasets (genomics, transcriptomics, etc.).
- Strong proficiency in programming languages commonly used in bioinformatics (e.g., Python, R) and experience with relevant software packages and databases.
- Deep understanding of statistical modeling, machine learning, and systems biology approaches.
- Excellent ability to interpret biological data and formulate biologically relevant hypotheses.
- Exceptional communication, presentation, and interpersonal skills.
- Demonstrated experience in leading and mentoring research teams.
- Proven ability to thrive and collaborate effectively in a fully remote research environment.
- Experience with cloud computing platforms and high-performance computing clusters is highly desirable.
- A strong publication record in peer-reviewed journals.
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Lead Research Scientist - Computational Biology
Posted 5 days ago
Job Viewed
Job Description
Eldoret, Uasin Gishu, KE
Our client, a pioneering force in scientific innovation, is seeking an exceptional Lead Research Scientist specializing in Computational Biology to join our cutting-edge, fully remote research division. This role offers a unique opportunity to shape the future of biological discovery from the comfort of your home office. You will lead a team of talented researchers in designing and implementing advanced computational approaches to analyze complex biological datasets, uncover novel insights, and drive forward groundbreaking research projects.
Your responsibilities will encompass the development and application of bioinformatics pipelines, machine learning algorithms, and statistical models to interpret genomic, proteomic, and transcriptomic data. You will be at the forefront of identifying potential therapeutic targets, understanding disease mechanisms, and contributing to the development of next-generation diagnostics and treatments. This position requires a deep understanding of biological systems coupled with strong programming skills and experience with large-scale data analysis. You will mentor junior scientists, collaborate with cross-functional teams, and present your findings at international conferences. The ability to independently manage research projects, from conception to publication, is crucial. We are looking for an individual with a passion for scientific inquiry, a commitment to rigorous research, and the ability to thrive in a collaborative, remote-first environment. Your work will directly impact our understanding of fundamental biological processes and contribute to significant advancements in human health.
Key areas of focus will include developing predictive models, optimizing experimental design through computational methods, and establishing robust data management and analysis frameworks. You will also be responsible for staying abreast of the latest advancements in computational biology and bioinformatics, and for proposing innovative research directions.
Qualifications:
Our client, a pioneering force in scientific innovation, is seeking an exceptional Lead Research Scientist specializing in Computational Biology to join our cutting-edge, fully remote research division. This role offers a unique opportunity to shape the future of biological discovery from the comfort of your home office. You will lead a team of talented researchers in designing and implementing advanced computational approaches to analyze complex biological datasets, uncover novel insights, and drive forward groundbreaking research projects.
Your responsibilities will encompass the development and application of bioinformatics pipelines, machine learning algorithms, and statistical models to interpret genomic, proteomic, and transcriptomic data. You will be at the forefront of identifying potential therapeutic targets, understanding disease mechanisms, and contributing to the development of next-generation diagnostics and treatments. This position requires a deep understanding of biological systems coupled with strong programming skills and experience with large-scale data analysis. You will mentor junior scientists, collaborate with cross-functional teams, and present your findings at international conferences. The ability to independently manage research projects, from conception to publication, is crucial. We are looking for an individual with a passion for scientific inquiry, a commitment to rigorous research, and the ability to thrive in a collaborative, remote-first environment. Your work will directly impact our understanding of fundamental biological processes and contribute to significant advancements in human health.
Key areas of focus will include developing predictive models, optimizing experimental design through computational methods, and establishing robust data management and analysis frameworks. You will also be responsible for staying abreast of the latest advancements in computational biology and bioinformatics, and for proposing innovative research directions.
Qualifications:
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of post-doctoral research experience in computational biology or bioinformatics.
- Demonstrated leadership experience in managing research projects and/or teams.
- Expertise in programming languages such as Python, R, and/or C++.
- Extensive experience with bioinformatics tools, databases, and public datasets (e.g., NCBI, Ensembl).
- Proficiency in statistical analysis and machine learning techniques applied to biological data.
- Strong understanding of molecular biology, genetics, and genomics.
- Excellent written and verbal communication skills, with a track record of publications in peer-reviewed journals.
- Ability to work independently and collaboratively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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