Biological Research Coding Benchmark Author

ixolabs.ai; France; Hybride; EUR 77 000 - 103 000; Plein temps

Résumé du poste

ixolabs.ai seeks a scientist-programmer to author reproducible computational-biology tasks grounded in current research methods and data. You will write or verify reference solutions, manage the code environment, and check scientific interpretations of outputs.

You will define evaluation criteria and document assumptions, limitations and failure modes for transparent reviews. Remote assignments are scheduled by agreement, with flexible weekly hours depending on the track.

Qualifications

• PhD in biology, biochemistry, genetics, ecology or a related life science, with demonstrated depth in at least two of genetics, ecology and biochemistry.
• Scientific programming in Python or R; use Git/GitHub and Docker to submit reproducible work through pull requests and automated checks.

Responsabilités

• Author a reproducible computational-biology problem grounded in the relevant research methods and data.
• Write or verify a reference solution, manage the required code environment and check the scientific interpretation of the output.
• Define useful evaluation criteria and document assumptions, limitations and failure modes so the task can be reviewed reliably.

Connaissances

Python

R

Formation

PhD in biology or related life science

Outils

Git/GitHub

Docker

Description du poste

Work you will do

• Author a reproducible computational-biology problem grounded in the relevant research methods and data.
• Write or verify a reference solution, manage the required code environment and check the scientific interpretation of the output.
• Define useful evaluation criteria and document assumptions, limitations and failure modes so the task can be reviewed reliably.

Required background and routes

• A completed PhD in biology, biochemistry, genetics, ecology or a related life science, with demonstrated depth in at least two of genetics, ecology and biochemistry.
• Scientific programming in Python or R (another suitable scientific language is acceptable for the science tracks); use Git/GitHub and Docker to submit reproducible work through pull requests and automated checks.

Preferred background

• Peer-reviewed publications, research software development or research-engineering experience.

Deliverables

Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.

Location and schedule

Remote assignments are scheduled by agreement, with no guaranteed weekly volume. Availability planning can include 40, 20 hours per week depending on the track. Indicative assignment lengths include 6 weeks. IXO confirms the applicable timing before work.

Pay and working terms

$75/hr USD. The agreed hourly rate, scope, schedule and acceptance criteria are confirmed before work starts. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.