Research Data Scientist - Macrophage
About this opportunity
Make your mark for patients
We are looking for a Research Scientist Macrophage Immunology who is collaborative, analytical, and innovative to join our Immunology Research team, based in our Slough, UK (Windlesham from 2027).
About the role
You will play a key role in increasing the value of the Patient Solutions pre-project portfolio by enabling the discovery and progression of therapeutic molecules. You will generate and analyse in vitro, in vivo and ex vivo data, supporting programs across all stages of research and clinical development. Your work will focus on developing translational assays, exploring mechanisms of action, and identifying novel therapeutic strategies in immunology.
Who you’ll work with
You will be part of the Resolution of Inflammation focus area within Immunology Research. You will collaborate closely with multidisciplinary project teams, contributing to scientific decision-making and working alongside colleagues across research and clinical development to advance innovative therapies.
What you’ll do
Design and conduct in vitro experiments supporting target biology.
Generate translational assays, including complex cell culture models.
Apply immunology techniques such as coculture, 3D models, and flow cytometry.
You will analyse large datasets, including RNA sequencing and proteomics data.
Develop and apply data analysis pipelines using Python, SQL, and R.
You will interpret results and present findings to diverse audiences.
Interested? For this role we’re looking for the following education, experience and skills
Education to PhD (or equivalent) in immunology or a related scientific field
Post‑PhD experience in academia or industry.
Strong background in immunology and disease biology.
Experience working with high-dimensional datasets and multi-omics data.
Demonstrable experience of working in Macrophage biology.
Proficiency in Python, SQL, and/or R for data analysis.
Excellent communication, collaboration, and problem-solving skills.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on [email protected]. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 137 comparable Biostatistics & Data Science roles across 22 biopharma companies.
Salary context
46 of 137 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 137 comparable roles
+ 11 more countries
Seniority mix
105 of 137 peers have a known seniority level
Therapeutic area mix
14 of 137 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.