Data Scientist
Turns large, messy datasets into answers, using programming, statistics and machine learning to find patterns and build predictive models.
Data scientists work for the NHS, drug companies, research institutes, technology firms and government, usually in an office or from home. In life science it suits someone who enjoys biology but finds they like the analysis and the code more than the bench.
Also called Health data scientist or Machine learning scientist.
At a glance
- Way in
- Bachelor's degree, often in statistics, mathematics, computer science, data science and bioinformatics
- Pay in the US
- $120,230 a year, the medianFor data scientists, 2025
- Pay in the UK
- £32,000 starting to £83,000 with experience
- US outlook
- Much faster than average, 2025-2035
- Suits you if
- You enjoy coding and statistics and like answering questions with evidence.
Pay is a guide: it moves with the country, the employer, the sector and the years in the job. Figures from O*NET OnLine (US) and the National Careers Service (UK); see the sources below.
The work
What does a data scientist do?
- Gather and clean data from health records, experiments, sensors or databases
- Explore data for patterns and test ideas with statistical methods
- Build and check machine learning models that predict outcomes
- Turn results into charts, dashboards and short reports for non-specialists
- Set up automated data pipelines and keep data secure and accurate
Where they work
- NHS and health data teams
- Pharmaceutical and biotech companies
- Research institutes and universities
- Government departments
- Technology companies
Skills
The skills a data scientist needs
- ProgrammingPython or R, plus SQL for databases
- Statisticsstudy design, modelling, uncertainty and bias
- Machine learningchoosing, training and testing models
- Data visualisationclear charts and dashboards
- Communicationexplaining results to people who are not analysts
- Domain knowledgeenough biology or medicine to ask good questions
Route in
How to become a data scientist
- Study a numerate degree, or a science degree with plenty of statistics and coding
- Build skills in Python, R and SQL through coursework, projects or short courses
- Take an internship or start as a data analyst to gain experience with real data
- Consider a master's or conversion course in data science to move into the role
Degrees people take
- Statistics
- Mathematics
- Computer science
- Data science
- Bioinformatics
In the UK, data science degree apprenticeships and master's conversion courses offer routes in for people without a maths or computing degree.
Practise for it
The quizzes and tools that fit
- Bioinformatics quizzes
- NGS Platforms & Library Prep10 questions
- Introduction to Sequence Alignment10 questions
- Systems Biology & Network Analysis10 questions
- Epidemiology quizzes
- Bias and Confounding15 questions
- Epidemiological Study Designs15 questions
- Measures of Disease Frequency15 questions
- Genetics quizzes
- Incomplete Dominance and Codominance15 questions
- Pedigree Analysis15 questions
- Blood Types15 questions
Also on biofideX
Next to it
Careers to weigh against it
Sources
Where the facts come from
Written for biofideX from these public sources. The pay figures are theirs, copied as published, last read 2026-10-25.
- O*NET OnLine: Data Scientists (15-2051.00)(CC BY 4.0)
- National Careers Service: Data Scientist(Open Government Licence v3.0)
Requirements differ by country and change over time; check with the body that registers the profession where you will work. Spotted a mistake? Tell us and we'll correct it.
55 careers, side by side
Each with what it asks, how people get in, what it pays and the quizzes that fit it.
Explore the careers