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Day 12
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Uppsala, Sweden
Actively hiring, first seen by us 12 days agoExperience integrating, harmonizing, and analyzing complex data in life sciences, biotechnology, biopharma, healthcare, clinical research, diagnostics, or laboratory environments.
Experience with cloud and scalable analytics platforms (e.g., AWS, Azure, Spark, Databricks) and DevOps/version control (Git).
As part of the Data Science Development team in Uppsala R&D, you will contribute to advancing data analysis capabilities for both external and internal use. This role offers the opportunity to work across the full product lifecycle, from concept development through post-launch support, applying cutting-edge data science and bioinformatics expertise. This role is suitable for either a fresh PhD graduate with up to 2 years of industry experience or a MSc with at least 4 years of industry experience. A Day in the Life:
REQUIREMENTS - MSc or PhD in Bioinformatics, Biostatistics, Computer Science, Molecular Biology or similar. - Advanced degree plus 2 years of relevant experience, or Bachelor’s degree plus 4 years, in data science or a related field.
- MSc or PhD in Bioinformatics, Biostatistics, Computer Science, Molecular Biology or similar. - Advanced degree plus 2 years of relevant experience, or Bachelor’s degree plus 4 years, in data science or a related field. - Experience integrating, harmonizing, and analyzing complex data in life sciences, biotechnology, biopharma, healthcare, clinical research, diagnostics, or laboratory environments.
Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 12
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
71 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Experience integrating, harmonizing, and analyzing complex data in life sciences, biotechnology, biopharma, healthcare, clinical research, diagnostics, or laboratory environments. - Advanced proficiency in R, Python, and SQL, for data processing, transformation, analysis, and automation. - Moderate experience in applying statistical methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics
- Moderate experience in applying statistical methods in medical or biological research, especially with data from high throughput technologies in proteomics and genomics - Experience with cloud and scalable analytics platforms (e.g., AWS, Azure, Spark, Databricks) and DevOps/version control (Git). - Demonstrated strong communication skills, both oral and written in English
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
Location/Division Specific Information:
Olink, part of Thermo Fisher Scientific, is dedicated to advancing the understanding of human disease through proteomics. Olink panels provide innovative, high-quality solutions for human protein biomarker discovery, enabling researchers to measure thousands of proteins simultaneously from just a few microliters of blood. Using highly specific and thoroughly validated assays with a wide dynamic range, Olink’s technology overcomes traditional limitations in protein analysis and supports deeper insights into human biology and disease.
Job description:
We are currently seeking a Data Scientist on a temporary basis (until the end of 2027) for our Data Science Development team.
As part of the Data Science Development team in Uppsala R&D, you will contribute to advancing data analysis capabilities for both external and internal use. This role offers the opportunity to work across the full product lifecycle, from concept development through post-launch support, applying cutting-edge data science and bioinformatics expertise.
This role is suitable for either a fresh PhD graduate with up to 2 years of industry experience or a MSc with at least 4 years of industry experience.
A Day in the Life:
REQUIREMENTS
To succeed in this role, you need to have a strong analytical mind and an interest in modern statistical and data analysis methods including machine learning. It is also important to have the ability to translate complex scientific and business problems into analytical solutions and communicate technical concepts effectively to scientific, technical, and non-technical stakeholders.
If you enjoy solving challenging problems, don't mind working both independently and in collaboration with others and stay current with emerging technologies, we are looking forward to meeting you!
Why Join Us?
At Olink, Thermo Fisher Scientific, you will be part of a nurturing team that values integrity, innovation, and involvement. We offer an encouraging environment where your diverse experiences and perspectives are appreciated, enabling you to thrive and excel in your career.
If you are a team player with a curious and collaborative mindset and a passion for technology in the proteomics and life sciences field, we would love to hear back from you!
The final application date is on the 12th of November. The position might get filled prior to this date.
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Uppsala, Sweden
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