Computational Biologist - Fully Remote | Upto 00/hr
Other
WFA Digital Insight
As demand for AI and machine learning specialists grows, companies like mercor are seeking experts in computational biology to drive innovation. With a 25% increase in remote STEM jobs in the past year, this role stands out for its flexibility and high hourly rate. To succeed, candidates will need strong scientific programming skills, experience with domain-specific software libraries, and the ability to work independently. Before applying, consider highlighting your expertise in scientific workflow design and your familiarity with AI model evaluation.
Job Description
About the Role
The Computational Biologist role at mercor involves designing and developing complex computational problems to test AI systems' abilities in scientific workflow implementation. This position requires a deep understanding of domain-specific scientific software libraries and the ability to calibrate tasks to achieve target difficulty levels. As a key member of the team, you will collaborate with AI research teams to improve model outputs and training data quality.Mercor's mission is to connect elite talent with leading AI research labs, driving innovation and pushing the boundaries of what is possible. As a Computational Biologist, you will be working on challenging problems that require strategic reasoning and scientific expertise.
The ideal candidate will have experience working independently and asynchronously, with a strong background in scientific programming and software library development.
What You Will Do
- Design computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools
- Develop complex multi-step scientific workflows to test AI systems' abilities
- Calibrate tasks against state-of-the-art AI models to achieve target difficulty levels
- Collaborate with AI research teams to improve model outputs and training data quality
- Work independently to meet deadlines and improve AI model performance
- Develop and refine problem design based on calibration feedback
- Implement and test scientific software libraries and tools
- Provide expertise in scientific workflow design and AI model evaluation
What We Are Looking For
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience)
- Proficiency with at least one listed scientific software library (libRoadRunner, Tellurium, or SBML-based tools)
- Strong Python programming skills for writing problem setups, oracle functions, and solution validators
- Ability to work independently and iterate on problem designs based on calibration feedback
- Comfortable working in a Linux/terminal environment with remote compute sandboxes
- Experience with scientific workflow design and AI model evaluation
- Strong understanding of pharmacokinetics and systems biology
Nice to Have
- Experience across multiple listed domains or tools
- Familiarity with benchmark or evaluation design
- Background in scientific pedagogy or exam/problem-set design
- Experience with computational reproducibility and containerized environments
Benefits and Perks
- Competitive hourly rate (up to 00/hour)
- Remote work arrangement with flexible hours
- Opportunity to work with leading AI research labs and contribute to innovative projects
- Collaborative and dynamic work environment
- Access to cutting-edge tools and technologies
- Professional development opportunities and support for continued learning
- Health and wellness programs for remote workers
- Annual stipend for professional conferences and training
How to Stand Out
- To stand out in your application, highlight your experience with scientific software libraries and your ability to design complex computational problems.
- Make sure to showcase your Python programming skills and provide examples of your work in scientific workflow design and AI model evaluation.
- Be prepared to discuss your experience working independently and asynchronously, and how you handle feedback and calibration.
- Consider including a portfolio of your work, such as research publications or open-source contributions, to demonstrate your expertise.
- During the interview process, be prepared to discuss your understanding of pharmacokinetics and systems biology, and how you would approach designing computational problems in these domains.
- When negotiating your hourly rate, be sure to research the market average for Computational Biologists in the UK and highlight your relevant experience and skills.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.
WFA Digital Insight
As demand for AI and machine learning specialists grows, companies like mercor are seeking experts in computational biology to drive innovation. With a 25% increase in remote STEM jobs in the past year, this role stands out for its flexibility and high hourly rate. To succeed, candidates will need strong scientific programming skills, experience with domain-specific software libraries, and the ability to work independently. Before applying, consider highlighting your expertise in scientific workflow design and your familiarity with AI model evaluation.
Job Description
About the Role
The Computational Biologist role at mercor involves designing and developing complex computational problems to test AI systems' abilities in scientific workflow implementation. This position requires a deep understanding of domain-specific scientific software libraries and the ability to calibrate tasks to achieve target difficulty levels. As a key member of the team, you will collaborate with AI research teams to improve model outputs and training data quality.Mercor's mission is to connect elite talent with leading AI research labs, driving innovation and pushing the boundaries of what is possible. As a Computational Biologist, you will be working on challenging problems that require strategic reasoning and scientific expertise.
The ideal candidate will have experience working independently and asynchronously, with a strong background in scientific programming and software library development.
What You Will Do
- Design computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools
- Develop complex multi-step scientific workflows to test AI systems' abilities
- Calibrate tasks against state-of-the-art AI models to achieve target difficulty levels
- Collaborate with AI research teams to improve model outputs and training data quality
- Work independently to meet deadlines and improve AI model performance
- Develop and refine problem design based on calibration feedback
- Implement and test scientific software libraries and tools
- Provide expertise in scientific workflow design and AI model evaluation
What We Are Looking For
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience)
- Proficiency with at least one listed scientific software library (libRoadRunner, Tellurium, or SBML-based tools)
- Strong Python programming skills for writing problem setups, oracle functions, and solution validators
- Ability to work independently and iterate on problem designs based on calibration feedback
- Comfortable working in a Linux/terminal environment with remote compute sandboxes
- Experience with scientific workflow design and AI model evaluation
- Strong understanding of pharmacokinetics and systems biology
Nice to Have
- Experience across multiple listed domains or tools
- Familiarity with benchmark or evaluation design
- Background in scientific pedagogy or exam/problem-set design
- Experience with computational reproducibility and containerized environments
Benefits and Perks
- Competitive hourly rate (up to 00/hour)
- Remote work arrangement with flexible hours
- Opportunity to work with leading AI research labs and contribute to innovative projects
- Collaborative and dynamic work environment
- Access to cutting-edge tools and technologies
- Professional development opportunities and support for continued learning
- Health and wellness programs for remote workers
- Annual stipend for professional conferences and training
How to Stand Out
- To stand out in your application, highlight your experience with scientific software libraries and your ability to design complex computational problems.
- Make sure to showcase your Python programming skills and provide examples of your work in scientific workflow design and AI model evaluation.
- Be prepared to discuss your experience working independently and asynchronously, and how you handle feedback and calibration.
- Consider including a portfolio of your work, such as research publications or open-source contributions, to demonstrate your expertise.
- During the interview process, be prepared to discuss your understanding of pharmacokinetics and systems biology, and how you would approach designing computational problems in these domains.
- When negotiating your hourly rate, be sure to research the market average for Computational Biologists in the UK and highlight your relevant experience and skills.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.