Join our Mission to Improve Public Health Through Data: Data Scientist for Causal Machine Learning at Statens Serum I...
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København S
Embark on a meaningful journey
At the heart of Copenhagen, Denmark, the Department of Epidemiology Research at SSI is dedicated to a healthier future shaped through the power of data. We are seeking a passionate Data Scientist to join our department, working in the intersection between machine learning and causal inference to advance epidemiology research.
Thrive in a collaborative environment
Our department is a vibrant hub of 35 diverse professionals, including medical doctors, statisticians, bioinformaticians, data scientists, biologists, public health scientists, and mathematical modelers. Together, we foster a collaborative and supportive environment, where diverse perspectives come together to unravel the complexities of health and disease. Some of our research interests are infectious diseases, vaccines, pregnancy, mental health, sexual health, genetics and drugs used for diabetes and cardiovascular disease.
Your role: Advancing data-driven discoveries
As a Data Scientist, you will play an important role in shaping the future of epidemiology research at our department. Collaborating in dedicated teams, you will develop cutting-edge tools and techniques, leveraging machine learning and causal inference to uncover hidden insights in health data.
Key Responsibilities
Discover your potential
We seek an individual with an MSc/PhD in Data Science, Computer Science, Statistics, Bioinformatics, or a related field, coupled with a strong interest in data-driven health research. Proficiency in R/Python and SQL is essential, along with experience in machine learning and/or causal inference. A high level of proficiency in both spoken and written English is a must.
Your growth, our commitment
At SSI, we firmly believe in fostering the growth and development of our colleagues. You will enjoy continuous opportunities to refine your skills, expand your knowledge, and contribute meaningfully to our department's success. A future PhD scholarship is a possibility, if you are interested.
Diversity makes us stronger
We are committed to fostering an inclusive environment that celebrates diversity and welcomes individuals from all backgrounds. Your unique perspectives and experiences will enrich our department and contribute to our collective success. We invite applications from all qualified individuals and in order to ensure a fair and unbiased assessment process, we encourage you to submit an anonymized application, omitting personal details such as your name, gender, age, and photo from your CV, cover letter and educational transcripts. Applications will be meticulously evaluated based on skills, experience, and future potential to contribute to our department.
About the employment
Employment will be as academic employee (akademisk medarbejder) and in accordance with the terms of the collective agreement between the Ministry of Taxation and the Danish Federation of Professional Associations (AC-overenskomsten).
The position is temporary, full-time (2-year contract).
Timeline and contact information
Interviews are scheduled for weeks 4 and 5. For further inquiries or questions, please do not hesitate to reach out to Anders Hviid, Head of Department, at [email protected] or +45 3268 3967. We look forward to hearing from you!
Application instructions and assessment
To submit your application, please follow these steps:
1. Ensure your CV, cover letter and educational transcripts are in PDF format. 2. Remove personal details (name, gender, age, photo) from all documents submitted. 3. Your cover letter should highlight your relevant experience, skills, and motivation for the position together with your brief thoughts on how you can contribute to our department. 4. Click “apply” to send your application.
Deadline for submission: January 15, 2024.
Join our mission to make a lasting impact
If you are passionate about data-driven health research and eager to join a collaborative team, we encourage you to apply for this exciting opportunity!
Kilde: Jobnet.dk
At the heart of Copenhagen, Denmark, the Department of Epidemiology Research at SSI is dedicated to a healthier future shaped through the power of data. We are seeking a passionate Data Scientist to join our department, working in the intersection between machine learning and causal inference to advance epidemiology research.
Thrive in a collaborative environment
Our department is a vibrant hub of 35 diverse professionals, including medical doctors, statisticians, bioinformaticians, data scientists, biologists, public health scientists, and mathematical modelers. Together, we foster a collaborative and supportive environment, where diverse perspectives come together to unravel the complexities of health and disease. Some of our research interests are infectious diseases, vaccines, pregnancy, mental health, sexual health, genetics and drugs used for diabetes and cardiovascular disease.
Your role: Advancing data-driven discoveries
As a Data Scientist, you will play an important role in shaping the future of epidemiology research at our department. Collaborating in dedicated teams, you will develop cutting-edge tools and techniques, leveraging machine learning and causal inference to uncover hidden insights in health data.
Key Responsibilities
- Data wrangling: Orchestrate complex health data into analysis-ready formats
- Tool development: Design and implement innovative tools to streamline data- and research workflows and enhance efficiency
- Machine learning and causal inference: Apply your expertise in machine learning and causal inference techniques to tackle real-world health challenges
- Statistical analysis: Conduct rigorous statistical analyses to establish causal relationships and inform evidence-based decision-making
Discover your potential
We seek an individual with an MSc/PhD in Data Science, Computer Science, Statistics, Bioinformatics, or a related field, coupled with a strong interest in data-driven health research. Proficiency in R/Python and SQL is essential, along with experience in machine learning and/or causal inference. A high level of proficiency in both spoken and written English is a must.
Your growth, our commitment
At SSI, we firmly believe in fostering the growth and development of our colleagues. You will enjoy continuous opportunities to refine your skills, expand your knowledge, and contribute meaningfully to our department's success. A future PhD scholarship is a possibility, if you are interested.
Diversity makes us stronger
We are committed to fostering an inclusive environment that celebrates diversity and welcomes individuals from all backgrounds. Your unique perspectives and experiences will enrich our department and contribute to our collective success. We invite applications from all qualified individuals and in order to ensure a fair and unbiased assessment process, we encourage you to submit an anonymized application, omitting personal details such as your name, gender, age, and photo from your CV, cover letter and educational transcripts. Applications will be meticulously evaluated based on skills, experience, and future potential to contribute to our department.
About the employment
Employment will be as academic employee (akademisk medarbejder) and in accordance with the terms of the collective agreement between the Ministry of Taxation and the Danish Federation of Professional Associations (AC-overenskomsten).
The position is temporary, full-time (2-year contract).
Timeline and contact information
Interviews are scheduled for weeks 4 and 5. For further inquiries or questions, please do not hesitate to reach out to Anders Hviid, Head of Department, at [email protected] or +45 3268 3967. We look forward to hearing from you!
Application instructions and assessment
To submit your application, please follow these steps:
1. Ensure your CV, cover letter and educational transcripts are in PDF format. 2. Remove personal details (name, gender, age, photo) from all documents submitted. 3. Your cover letter should highlight your relevant experience, skills, and motivation for the position together with your brief thoughts on how you can contribute to our department. 4. Click “apply” to send your application.
Deadline for submission: January 15, 2024.
Join our mission to make a lasting impact
If you are passionate about data-driven health research and eager to join a collaborative team, we encourage you to apply for this exciting opportunity!
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i København S.
Jobbet er oprettet på vores service den 4.12.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- København S
- Mandag den 15. januar 2024
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Statistik over udbudte jobs som øvrige i København S
Herunder ser du udviklingen i udbudte øvrige i København S over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal øvrige.
Se flere statistikker her:
Statistik over udbudte øvrige i København S over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 23. januar 2025 | 66 |
| 22. januar 2025 | 64 |
| 21. januar 2025 | 64 |
| 20. januar 2025 | 64 |
| 19. januar 2025 | 67 |
| 18. januar 2025 | 68 |
| 17. januar 2025 | 67 |
| 16. januar 2025 | 66 |
| 15. januar 2025 | 67 |
| 14. januar 2025 | 66 |
| 13. januar 2025 | 65 |
| 12. januar 2025 | 69 |
| 11. januar 2025 | 69 |
| 10. januar 2025 | 68 |
| 9. januar 2025 | 63 |
| 8. januar 2025 | 60 |
| 7. januar 2025 | 63 |
| 6. januar 2025 | 63 |
| 5. januar 2025 | 67 |
| 4. januar 2025 | 67 |
| 3. januar 2025 | 69 |
| 2. januar 2025 | 67 |
| 1. januar 2025 | 70 |
| 31. december 2024 | 77 |
| 30. december 2024 | 76 |
| 29. december 2024 | 75 |
| 28. december 2024 | 75 |
| 27. december 2024 | 75 |
| 26. december 2024 | 76 |
| 25. december 2024 | 76 |
| 24. december 2024 | 76 |