Job
You develop data-driven solutions for the pharma industry, analyze heterogeneous life science data, and assess AI applications in R&D processes to optimize innovative approaches.
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Job technologies
Your role in the team
- Are Data and AI your home turf? Your new challenge also includes the following:
- You proactively shape challenging data science projects as part of an interdisciplinary team.
- You are adept at identifying our customers’ needs and developing effective, data-driven solutions and process optimizations for the pharmaceutical industry.
- You extract the data relevant to the task from our customers’ datasets.
- You create innovative solutions using modern methods in statistics, machine learning, mathematical optimization, and visual analytics.
- You evaluate the use of Generative AI and Large Language Models in R&D processes, e.g. for analyzing scientific literature or designing new molecules.
- Together with our customers, you identify use cases across the R&D value chain and assess their feasibility and added value.
- You analyze and integrate heterogeneous life science data, such as omics, assay, screening, or clinical data, and make it usable for analysis.
- You successfully communicate your findings to our customers and then support the comprehensive implementation of your idea together with the Data Engineering team.
- As a subject matter expert, you take part in customer meetings.
Our expectations of you
Education
- Excellent degree (M.Sc. or PhD) in a relevant scientific, pharmaceutical, bioinformatics, or data science field, e.g. Data Science applied to the life sciences, Bioinformatics, Biostatistics, Computational Biology, or a related discipline.
Qualifications
- You have a solid understanding of topics such as data science, machine learning, big data, data and time series analysis, anomaly detection, Bayesian optimization, process optimization, simulation, or modeling physical systems, etc.
- In-depth understanding of the drug discovery and R&D value chain, particularly: target identification and target validation, hit identification and hit-to-lead, lead optimization, drug candidate assessment and prioritization, preclinical development, clinical feasibility.
- Ability to discuss complex scientific and technological topics with clients in the pharmaceutical and biotech industries and translate them into concrete Data Science & AI solutions.
- Strong expertise in commonly used analytics toolkits, particularly the Python programming language and relevant libraries, as well as knowledge of databases, big data technologies, and Linux, cloud, or container environments.
- You have strong communication and presentation skills in both German and English.
- You enjoy project-based work, are customer-oriented, and have a strong interest in industrial processes and R&D-related topics.
- Willingness to travel as part of the consulting role.
Experience
- Several years of professional experience in the pharmaceutical industry, ideally in a research-oriented R&D environment, e.g. Drug Discovery, Preclinical R&D, Translational Research, Pharmacology, Medicinal Chemistry, Clinical Development, etc.
- Experience in consulting, project work, or collaboration with interdisciplinary teams across R&D, Data Science, IT, and Business.
What we offer
- Trust-based working hours with flexible scheduling, a hybrid working model, and workations – take the opportunity to work from another EU country.
- A unique team atmosphere, flat hierarchies and direct access to our CEO Alex, an open feedback culture, annual team workshops at our Data.Castle in the Zillertal, a lived Data.Musketeer principle — “one for all, all for one!”, our [at] Buddy Program to help everyone connect, regular professional and social events, and dog-friendly offices.
- Comprehensive onboarding and induction process, personal development plan and individual training opportunities, a wide range of workshops and training courses through our Data.Academy, delivered by our experienced Data.Musketeers and external providers, career paths in leadership, project management and specialist roles.
- Childcare allowance, company pension scheme with a 20% employer contribution, numerous corporate benefits and employee perks (e.g. for events and travel), a welcome credit for our internal merchandise shop, competitive salary with variable components.
- Mental health and wellbeing support, as well as coaching and meditation through nilo.health; fitness and yoga rooms at the Munich office; regular employee surveys; EGYM Well Pass membership with a Plus1 option; bicycle leasing through JobRad after the probationary period; internal groups for sports activities; free hot and cold drinks and fresh fruit at the office; rooftop terrace with a grill.
- Subsidy for the Deutschlandticket, centrally located offices, excellent public transport connections, and the option to work from other locations.
Benefits
Health, fitness & fun
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
We're the pioneering data science consulting firm in the German speaking region. Our Munich-based company, founded by Alexander Thamm in 2012, was the first to exclusively specialize in analytics, data science and big data. We help our clients gain a competitive edge and added value through big data.
- 2012
- Digital Agency
- Onsite, Hybrid, Full Remote
- Consulting · Internet, IT, Telecommunication
Employer reviews
- Engineering
- 3.9
- Working conditions
- 4.0
- Career growth
- 4.4
- Team culture
- 4.5
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