At a Glance
- Tasks: Develop and optimize machine learning models for biological data analysis.
- Company: Rapidly growing bioinformatics startup revolutionizing healthcare with AI.
- Benefits: Competitive salary, equity options, and comprehensive benefits in a fully remote role.
- Other info: Collaborate with a diverse team and enjoy flexibility in a dynamic environment.
- Why this job: Shape the future of computational biology and impact healthcare through innovative projects.
- Qualifications: PhD in relevant field and 5+ years of experience applying ML to biological data.
The predicted salary is between 135000 - 165000 $ per year.
About the Role
Our client, a rapidly growing bioinformatics startup at the forefront of applying artificial intelligence to biological data, is seeking a Senior Computational Biologist with a strong focus on Machine Learning.
This fully remote role offers an exciting opportunity to leverage advanced computational techniques to unlock insights from complex biological datasets, driving innovation in drug discovery and personalized medicine.
You will be instrumental in developing and implementing machine learning models, analyzing large-scale omics data, and collaborating with a diverse team of scientists and engineers.
This position requires a deep understanding of both biology and computer science, with a proven track record in applying ML to biological problems.
Join a dynamic, forward-thinking company committed to revolutionizing healthcare through data science.
Key Responsibilities
- Develop, implement, and optimize machine learning models for biological data analysis (e. g., genomics, transcriptomics, proteomics).
- Design and execute computational experiments to identify patterns, predict outcomes, and uncover novel biological insights.
- Collaborate with biologists, chemists, and data scientists to define research questions and translate them into computational approaches.
- Process, clean, and analyze large, complex biological datasets from various sources.
- Stay abreast of the latest advancements in machine learning, artificial intelligence, and computational biology.
- Contribute to the development of new algorithms and software tools for biological data analysis.
- Communicate findings effectively through presentations, reports, and publications.
- Mentor junior computational biologists and contribute to the team's scientific strategy.
Requirements
- Ph D in Computational Biology, Computer Science, Bioinformatics, Statistics, or a related quantitative field.
- A minimum of 5 years of post-doctoral research or industry experience applying machine learning to biological data.
- Strong programming skills in Python or R, with extensive experience using ML libraries (e. g., Tensor Flow, Py Torch, Scikit-learn).
- Proven experience with various machine learning algorithms (e. g., deep learning, random forests, SVMs) and statistical modeling techniques.
- Solid understanding of molecular biology, genomics, or other relevant biological domains.
- Experience with large-scale data processing and cloud computing platforms (AWS, GCP, Azure) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for remote teamwork.
Benefits
- Our client offers a competitive salary, equity options, and a comprehensive benefits package.
- Enjoy the flexibility and autonomy of a fully remote role, working on cutting-edge projects with a talented and passionate team.
- This is an excellent opportunity to shape the future of computational biology and make a significant impact on healthcare.
- #J-18808-Ljbffr
Senior Computational Biologist in Kimberley employer: Placements24
Join a forward-thinking company that values innovation and offers a fully remote work environment, allowing you to thrive from anywhere in South Africa. With a highly competitive salary, significant bonus potential, and a generous budget for professional development, this role as Legal Counsel - Intellectual Property not only provides the opportunity to protect and manage a diverse IP portfolio but also fosters a culture of growth and collaboration. Embrace the chance to work on cutting-edge technology while shaping the future of the company's intellectual property.
