Computational Biologist for AI Research Quality

Role Overview:

Join a dynamic team as a Research Quality Specialist in Computational Biology, where you will leverage your analytical skills and research expertise to create and solve complex scientific problems. Your contributions will play a crucial role in advancing research quality and computational solutions in the field.

Key Responsibilities:

Quantitative Problem Design and Solutioning:

• Develop and conceptualize original, research-grade or graduate-level scientific problems using Python for scientific coding and programming.
• Define problem categories, assign secondary tags, and determine appropriate difficulty levels.
• Ensure accuracy, reliability, and logical coherence in solving formulated problems.

Quality Assurance & Collaboration:

• Participate in two-tier reviews, evaluating the accuracy of problems and solutions.
• Collaborate with reviewers and team leads, proactively incorporating feedback to refine content and enhance overall quality.

Qualifications:

• PhD or PhD Candidates in Computational Biology.
• At least 1 published peer-reviewed paper.
• Advanced proficiency in Python programming for scientific coding is preferred.
• Strong analytical, logical thinking, and problem-solving skills.
• Excellent written and verbal communication skills for documentation and collaboration.

Work Terms:

• Commitment of 40 hours per week with 4 hours of PST overlap.
• Contractor assignment/freelancer status (no medical/paid leave).
• Contract duration of 8 weeks; expected start date is next week.
• Remote work available from Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, or Vietnam.

Compensation:

• Competitive compensation based on experience and project needs.

Eligibility:

• Open to candidates from specified countries only.

Perks of Freelancing:

• Work in a fully remote environment.
• Engage with cutting-edge AI projects alongside leading LLM companies.
• Potential for contract extension based on performance and project needs.