Posted 8 hours ago
Life Sciences Research & Python Specialist (MSc/PhD)
@ Gramian Consulting Group
Remote in Canada
Overview
Gramian Consulting Group is hiring life sciences researchers with strong Python skills for a contract project evaluating and improving advanced AI systems. The work involves building reproducible Python analyses, processing biological datasets, and reviewing scientific solutions and code for errors. The role is about 15 hours per week with flexible schedule and output-based pay per task.
Responsibilities:
- Create and solve rigorous scientific problems in your specialty
- Develop reproducible Python analyses and data workflows
- Analyze biological or biomedical datasets
- Review scientific solutions and Python code for errors
Requirements summary:
- Master's or PhD in a relevant life sciences discipline
- Substantial research experience through publications or projects
- Strong practical Python programming skills
- Ability to write, debug and validate Python code
- Excellent written English
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-11-09
- First seen by our source
- 2026-11-09
- Source record updated
- 2026-11-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Research & science |
| Hours per week | 15 |
| Schedule | day, evening, overnight |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Gramian Consulting Group
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Full company description
Gramian Consulting is your partner for accessing the engineering capabilities you need—delivered in the model that fits your business, from staff augmentation and talent recruiting to Build-Operate-Transfer (BOT). We combine the perspective of a software engineer, the rigor of a technical recruiter, and the vision of a business builder, so you get experts who understand your challenges and deliver results the right way. This blend is our signature advantage in providing top-quality services, fast and reliably.
- LinkedIn followers
- 27,283
- People associated on LinkedIn
- 7
- Reported office locations
- Kumanovo, MK
- Other recorded names
- Gramian Consulting Group
- Gramian Consulting
- Specialties
- Talent Solutions
- Technical Recruiting
- Staff Augmentation
- AI & Data Solutions
- and BOT
- Profile identifies a recruitment agency
- No
Gramian Consulting is your partner for accessing the engineering capabilities you need—delivered in the model that fits your business, from staff augmentation and talent recruiting to Build-Operate-Transfer (BOT). We combine the perspective of a software engineer, the rigor of a technical recruiter, and the vision of a business builder, so you get experts who understand your challenges and deliver results the right…
| Field | Value |
|---|---|
| Industry | IT Services and IT Consulting |
| Company size | 2-10 employees |
| Headquarters | Kumanovo |
| Organization type | Partnership |
| Year founded | 2025 |
| Specialties | Talent SolutionsTechnical RecruitingStaff AugmentationAI & Data Solutionsand BOT |
| Open jobs on Jobsy | 49 |
| View page |
About Gramian
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.
About the Job
We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code.
We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability.
- LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC
- COMMITMENT: Approximately 15 hours per week
- SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred.
- COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary.
Key Responsibilities
Create and solve technically rigorous scientific problems within your area of specialization.
Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
Analyze and interpret biological or biomedical datasets using appropriate computational methods.
Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
Apply relevant statistical and computational techniques to validate research findings.
Document methodologies, assumptions, and solutions in a clear and structured manner.
Requirements
Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
Ability to independently write, understand, debug, and validate Python code.
Experience working with scientific or biological datasets and interpreting computational results.
Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
Excellent written English and the ability to communicate complex scientific concepts clearly.
Journal
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