LLM Training - Scientific Programming in Biology - PhD or PhD candidates

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.

Responsibilities:

Quantitative Problem Design and Solutioning:

• Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python.
• Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels.
• Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path.

Quality Assurance & Collaboration:

• Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions.
• Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.

Commitments Required: 8 hours per day with an overlap of 4 hours with PST.

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 12 weeks

Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Selection process: 60min Python assessment test

Requirements

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