Customer Data Scientist (Industrial Biotechnology)

Differential Bio; München; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive compensation through salary + stock options

Leadership opportunities

Beautiful office in the heart of Munich

Résumé du poste

A leading biotechnology firm in Munich seeks a Customer Data Scientist to ensure reliable customer programs. The role focuses on turning raw experimental data into clean, production-ready analytics. This position involves close collaboration with lab teams for data processing and analysis, creating reports for clients, and maintaining pipelines. Candidates should have a degree in data science or a related field, strong Python skills, and experience working with scientific data. This role offers the chance to grow with the company and take on more responsibilities over time.

Qualifications

• 1–3 years of experience working with real-world scientific or laboratory data.
• Experience working with structured datasets.
• Comfort following established data processing pipelines.
• Experience working with structured datasets (tables, metadata, experimental results)
• Clear written communication and documentation habits
• Nice-to-have: Experience with lab data, biological experiments, or industrial biotech; DOE exposure; collaboration with software or platform teams

Responsabilités

• Process incoming laboratory data from customer and internal experiments.
• Run production-ready analysis pipelines.
• Create customer-facing analytical reports.
• Work with the lab team to ensure data completeness, correctness, and traceability
• Maintain and extend lab data processing pipelines
• Build and monitor QC checks, validation steps, and basic anomaly detection
• Create dashboards and summary views to track data health and experiment status
• Collaborate with software engineers to ensure clean handoff of results

Connaissances

Strong Python skills

Data processing and analysis

Clear written communication

Communication

Formation

Bachelor’s or Master’s degree in data science or related field

Description du poste

Role Description

We’re looking for a Customer Data Scientist to ensure customer programs run smoothly and reliably. You will turn raw experimental data into clean, production-ready analytics that directly power our platform and customer deliverables. This role is crucial because it’s the quality gate and execution engine between the lab and production systems: if data is processed correctly and consistently, insights ship, reports stay dependable, and our software gets better with every dataset.

This role is focused on execution and reliability. You’ll work closely with the lab team and the customer-facing technical lead to run production analyses, maintain lab data pipelines, and generate reports/datasets using existing methods and tools.

How You’ll Work

• You’ll receive well-scoped work packages from a technical lead
• You’ll execute analyses in collaboration with our wet lab and dry lab teams and deliver results independently
• You’ll flag data quality issues, edge cases, and inconsistencies early
• Over time, you’ll help turn one-off analyses into standardized workflows

Key responsibilities

Customer & Lab Data Execution

• Process incoming laboratory data from customer and internal experiments
• Run production-ready analysis pipelines and algorithms on new datasets
• Generate structured outputs for downstream integration into our software platform
• Work with the lab team to ensure data completeness, correctness, and traceability

Data Pipelines & Quality Control

• Maintain and extend lab data processing pipelines
• Build and monitor QC checks, validation steps, and basic anomaly detection
• Create dashboards and summary views to track data health and experiment status
• Improve robustness and reproducibility of data flows over time

Reporting & Analysis

• Create customer-facing analytical reports (e.g. multi-strain comparisons, growth summaries)
• Standardize recurring analyses into reusable scripts or pipelines
• Support design-of-experiments (DOE) analyses for new lab iterations
• Clearly document assumptions, inputs, and outputs for each analysis
• Help move research or prototype scripts into stable, production-ready code
• Refactor and package commonly used analyses for reuse
• Contribute to internal documentation, runbooks, and templates
• Collaborate with software engineers to ensure clean handoff of results

Growth Outlook

As the company grows, this role can expand toward:

• Ownership of larger portions of the data pipeline
• Mentoring junior analysts or interns
• Leading standardization efforts across customer programs

Qualifications

• Bachelor’s or Master’s degree in data science, bioengineering, computational biology, statistics, or a related field
• 1–3 years of experience working with real-world scientific or laboratory data
• Strong Python skills (data processing, analysis, scripting)
• Experience working with structured datasets (tables, metadata, experimental results)
• Comfort running existing analyses and following established pipelines
• Clear written communication and documentation habits

Nice-to-have

• Experience with lab data, biological experiments, or industrial biotech. In particular, how to deal with the often messy or unstructured assets that already exist in organizations.
• Familiarity with QC, validation, or monitoring of data pipelines
• Exposure to DOE or experimental design
• Experience collaborating with software or platform teams
• Experience with computational biology or data-driven methods (classical machine learning, deep learning, or LLMs)
• Get on board early: Become an early part of a visionary team that is leveraging the power of digital biology to unlock the $4tn bioeconomy;
• Competitive compensation through salary + stock options; we are looking to build a small but mighty team and think about compensation along those lines;
• Leadership opportunity: Work closely with visionary founders and grow into a leadership role with significant responsibility;
• A beautiful office in the heart of Munich