Bio Data Science Senior Associate: Lead Client Projects

BioLib Technologies ApS; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Equity

Lunch & pension & transport

Collaborative culture

Job summary

BioLib is seeking a Senior Associate in Biological Data Science to join its Copenhagen-based team. You will translate client questions into robust analyses and practical tools, owning project workstreams from scoping to delivery.

You will collaborate with BioLib's scientists and engineers, develop analyses in Python and R, and help turn complex data into actionable insights for pharmaceutical partners. This fast-paced role also offers an equity component and a competitive compensation package.

Qualifications

• Degree required in a relevant field (Computer Science / Software Engineering / Data Science / Bioinformatics).
• At least 2 years of consulting experience in pharma or similar industry.
• Strong analytical and problem-solving skills with project ownership from definition to delivery.
• Proficiency with Python and/or R for analytical workflows.
• Ability to communicate complex topics clearly and collaborate with customers and teams.

Responsibilities

• Lead client projects from scoping to delivery, defining scientific questions.
• Translate complex biological questions into clear insights and recommendations.
• Develop tailored analyses, tools and workflows using Python, R and BioLib platform.
• Evaluate emerging methods to choose best approaches for challenges.
• Collaborate with scientists and engineers to create new solutions.

Skills

Analytical skills

Problem-solving

Python or R

Client communication

Data visualization

Education

Degree in Computer Science / Software Engineering / Data Science / Bioinformatics

Tools

Front-end development

Data visualization

Cloud-based workflows

Job description

BioLib is seeking a Senior Associate in Biological Data Science to join its Copenhagen-based team. You will translate client questions into robust analyses and practical tools, owning project workstreams from scoping to delivery.

You will collaborate with BioLib's scientists and engineers, develop analyses in Python and R, and help turn complex data into actionable insights for pharmaceutical partners. This fast-paced role also offers an equity component and a competitive compensation package.