Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop data pipelines and implement machine learning models on Databricks to analyze clinical and molecular data, providing valuable insights for clients.
Job Technologies
Your role in the team
- We are a Pharma and Life Science IT service provider that has been successfully carrying out 'state-of-the-art' projects for international customers for more than 30 years, now. Our consultants work in our office in Basel, from home, on our customer's premises.
- We are a dynamic, forward-thinking, and expanding organization with a great team spirit, always on the lookout for like-minded individuals. If you are driven by ambition and highly motivated by challenging roles as well as financial incentives, you have come to the right place.
- With our attractive compensation and fringe benefits model, this is a great opportunity to maximize your earning potential. The further development of our colleagues and team members coupled with an excellent work atmosphere are amongst the top values of our company.
- As an experienced Data Scientist/Business Analyst, you have a proven track record in successfully managing laboratory research or clinical data projects. Your professional background and experience enable you to efficiently support our customers in bridging between IT and business to build and optimize their IT landscape.
- Work through our customer's entire data ecosystem to understand their needs and where to find and collect that information.
- Build and program machine learning on Databricks and statistical models based on digital, molecular, biobanking, clinical or Real World Evidence data.
- Berate bei fortgeschrittenen Datenanalysen sowohl im Bereich der Standardstatistik als auch bei Aktivitäten im Bereich Machine Learning.
- Support the evaluation of the designed models and present results through data visualization.
- Drive the execution of data science experiments based on business requirements and data and present the results to business stakeholders.
- Advise team members on the design and scientific background of statistical models.
- Organize knowledge sharing sessions in order to teach Data Science basic principles to project team members.
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Our expectations of you
Education
- University Degree in Statistics, Biology, Computer Science, Bioinformatics, etc.
Qualifications
- Good understanding and work exposure with AWS Databricks.
- Work well within a team and collaborate with individuals with technical and non-technical backgrounds.
- Strong communication skills, both verbal and written.
- Work exposure within an international environment in life sciences field.
- Fluent in English (both written and spoken), with proficient German or French skills (both written and spoken).
Experience
- 3 - 5 years of relevant work experience in Data Engineering within Life Sciences R&D domain.
- Experience in data wrangling, modelling, integrating and comparing a wide range of clinical data types.
- At least 3 years of experience in applying major data science, statistics, and machine learning algorithms (e.g., Data Science, Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and methods for exploratory and confirmatory data analysis in mid to large volume data sets.
- Experience in regulated environments (GxP, GAMP, 21 CFR Part 11) and IT projects.
- Substantial experience with SAS/R and/or Python, ideally in Pharma.
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What we offer
- You must create an Indeed account before continuing to the company website to apply.
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Topics that you deal with on the job
Job Locations
This is your employer
wega Informatik
wega Informatik AG, based in Basel, specializes in life science informatics. It supports clients throughout the entire digital and professional lifecycle, from early research to product launch. The focus is on bridging the gap between the business sector and IT, as well as consulting, implementing, and operating laboratory and enterprise systems.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Healthcare, Social Sector
Data Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
