Associate Director, Clinical Data Science Global Programmer
Cambridge, MA, US, MA 02139
BioNTech SE
We guide you through the promising world of immunotherapies. Find info on basic research and new developments of new treatment options.Open for hire at one of the following locations – Cambridge Erie Street. - Job ID: 7114 - Hiring Manager: Bruno Galea
Become a member of the BioNTech Family!
As a part of our team of more than 5.000 pioneers, you will play a key role in developing solutions for some of the most crucial scientific challenges of our age. Within less than a year, we were able to develop our COVID-19 mRNA vaccine following the highest scientific and ethical standards – writing medical history.
We aim to reduce the suffering of people with life-changing therapies by harnessing the potential of the immune system to develop novel therapies against cancer and infectious diseases. While doing so, we are guided by our three company values: united, innovative, passionate. Get in touch with us if you are looking to be a part of creating hope for a healthy future in many people's lives.
Associate Director, Clinical Data Science Global Programmer
As a Clinical Data Warehouse and Reporting Developer, you will play a crucial role in designing, developing, and maintaining our clinical data warehouse infrastructure and reporting solutions. Your primary objective will be to ensure the accuracy, integrity, and accessibility of clinical data while delivering actionable insights to support clinical research, quality improvement initiatives, and regulatory compliance.
Your main responsibilities are:
- Collaborate with clinical researchers, data scientists, and healthcare stakeholders to understand data requirements and translate them into technical specifications.
- Design, develop, and maintain the clinical data warehouse architecture, ETL processes, and data pipelines to integrate disparate clinical data sources (e.g., electronic health records, clinical trials data, medical devices data).
- Develop SAS programs for data extraction, transformation, and loading (ETL) from clinical databases and legacy systems into the data warehouse.
- Implement data quality checks, validation rules, and data standardization processes to ensure the accuracy and consistency of clinical data.
- Design and develop interactive reports, dashboards, and data visualizations using SAS Visual Analytics, Power BI, or similar tools to provide insights into clinical outcomes, Data Review, patient populations, and healthcare performance metrics.
- Perform data analysis and statistical modeling using SAS programming to identify trends, patterns, and correlations in clinical data.
- Develop and maintain documentation, data dictionaries, and metadata repositories to facilitate data governance and compliance with regulatory requirements (e.g., HIPAA, GDPR).
- Collaborate with IT infrastructure teams to optimize data warehouse performance, scalability, and security.
- Stay abreast of industry trends, best practices, and emerging technologies in clinical data warehousing, reporting, and analytics.
What you have to offer:
- Experience with cloud-based data platforms such as AWS, Google Cloud Platform, or Azure.
- Knowledge of regulatory requirements and compliance standards in healthcare (e.g., HIPAA, GDPR, 21 CFR Part 11).
- Familiarity with data mining, machine learning, and predictive analytics techniques.
- Certifications in SAS programming and/or healthcare informatics would be a plus
- Proficiency in SAS programming for data manipulation, analysis, and reporting.
- Strong understanding of clinical data standards (e.g., CDISC, HL7) and healthcare interoperability standards (e.g., FHIR).
- Experience with relational databases (e.g., SQL Server, Oracle) and SQL programming.
- Experience with SAS Visual Analytics, Power BI, QLIK, Elluminate or similar reporting and visualization tools.
- Knowledge of statistical analysis techniques and methodologies.
- Excellent communication and collaboration skills with the ability to work effectively in interdisciplinary teams.
- Strong attention to detail and commitment to data accuracy and quality.
- Ability to work independently, manage multiple tasks, and prioritize work effectively in a fast-paced environment.
Benefits for you
BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate’s qualifications and experience.
Click here to find out more about what we do, the careers we offer ans also the benefits we provide.
Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.
Have we kindled your pioneering spirit?
This vacancy is to be hired at one of the following locations – Cambridge Erie Street. Apply now for your preferred job and location through our careers site.
*BioNTech does not tolerate discrimination, favoritism, or harassment based on gender, political opinion, religion or belief, nationality, ethnic or social origin, age, sexual orientation, marital status, disability, physical appearance, health status or any other aspect of personal status. We are committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer. Most important – it’s a match!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Data analysis Data governance Data Mining Data pipelines Data quality Data warehouse Data Warehousing ETL GCP Google Cloud HL7 Machine Learning Oracle Pipelines Power BI Qlik RDBMS Research SAS Security SQL Statistical modeling Statistics
Perks/benefits: Career development Health care
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