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Biological Data Scientist - WELLBEING COLLECTIVE

Unilever
Liverpool
1 week ago
Applications closed

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Biological Data Scientist - WELLBEING COLLECTIVEApply locations Port Sunlight Research Lab time type Full time posted on Posted Yesterday time left to apply End Date: July 9, 2025 (11 days left to apply) job requisition id R-96329

Please Note: The deadline for applying is 23.59 the day before the job posting end date.

Job Title:Biological Data Scientist - WELLBEING COLLECTIVE

Work level:1C/RH4

Schedule:Full time

Work level:1C/RH4

Location:UK – Port Sunlight (Liverpool),

Function:R&D

Reports to:WORK STREAM LEADER BIOLOGICAL SCIENCE, Science & Technology

WHO ARE WE?

We are the Global Wellbeing Collective (WBC) team focused on one of Unilever’s largest growth opportunities – the €140bn Wellbeing Collective space defined by Vitamins, Minerals, and Supplements (VMS).

We work in an agile, fast-moving environment, collaboratively within the team and with our Unilever colleagues around the world. We work in a project based networked way where everyone needs to be able to take a step back and think strategically as well as rolling up their sleeves and get their hands dirty, to be entrepreneurial and experiment as well as bringing in the best of Unilever and work the structures of a large company, to take charge and lead as well as follow and support others.

OUR BUSINESS

Unilever’s Wellbeing Collective Group is a Global Business Unit within the Beauty & Wellbeing Business Group. It holds the company’s functional nutrition brands and the portfolio of brands that includes the acquired brands Nutrafol, Olly, LiquidIV, SmartyPants, Welly, Onnit and Equilibra. Each brand is completely unique and focused on giving consumers superior experiences within their respective spaces and target segments. We are committed to continue grow this strategic business for Unilever through a series of acquisitions and continued international expansion of acquired brands through Unilever’s scale and network in the markets.

JOB DESCRIPTION OVERVIEW

TheBiological Data Scientistwill play a critical role in the Science and Technology Team for Beauty and Wellbeing. They will be responsible for providing development and execution of Science pipeline projects for the Wellbeing Collective across a range of timescales.

The role reports to the WORK STREAM LEADER BIOLOGICAL SCIENCE and will interface with the B&W S&T Teams and the Wellbeing Collective GBU.

The role requires the ability to develop data-driven models and visualisations to identify differentiated and meaningful business opportunities from complex biological/ physiological datasets.

KEY ACCOUNTABILITIES

  • As part of a larger team, use data science and modelling methods to support Well Being Innovation programs and Brands via:
    • Analyses of complex multimodal and multiomic datasets
    • Building and validating predictive models
    • Interpretation and exploitation of analysis outcomes
    • Visualisation of results and datasets
    • Design and planning of future studies/experiments
  • Provision of statistics, machine learning and data science expertise across a range of Wellbeing programs
  • To define and develop modelling skills and capability in Wellbeing teams.
  • Engagement and collaboration with Global multi-disciplinary teams including both internal and external partners.
  • Responsibility for the quality and defensibility of statistical analyses, models and data interpretation.
  • Engagement in continuous learning initiatives to keep abreast of state of the art analytical, statistical and machine learning methods.
  • Shape and lead research activities, coach technicians and/or students
  • Communicate and publish results internally and externally

WHO ARE WE LOOKING FOR?

  • Demonstrated fluency in applying statistics methods in scientific research with a likely Masters in Statistics, Biostatistics or equivalent.
  • Experience of applying statistical methods to complex biological, physiological and/or consumer datasets is preferred.
  • Hands-on technical expertise in data visualization - understanding patterns in data
  • 2-5 years research experience in a relevant field.
  • Strong technical background in multivariate statistical methods.
  • Ability to apply such methods to biological challenges to create tangible and actionable outcomes
  • Hands-on experience with professional statistical/modelling software such as SAS, Python, R, MATLAB and JMP is essential
  • Strong interpersonal skills, oral and written communication skills; the ability to frame a problem.
  • Ability to collaborate and consult effectively in global teams across time-zones and cultures
  • Demonstrate strong result focus and capacity to take initiative and be a self-starter.
  • Excellent communication skills and capacity to convey and adapt scientific information to non-expert audiences
  • Ability to manage external collaborations and projects

NOTES

About Unilever

Unilever is one of the world’s leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Dove, Tresemme, Lynx, Lifebuoy, Shea Moisture, Persil, Domestos, Ben & Jerry’s, Magnum, Marmite, The Vegetarian Butcher, Graze and Pot Noodle.

Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet. That’s why our purpose is ‘to make sustainable living commonplace’

What We Offer

Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, subsidised gym membership, a discounted staff shop and shares. You’ll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment.

Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.

Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion at Unilever | Unilever .

Recruitment Fraud

Cyber criminals advertise fake job adverts with prestigious employers as a way of stealing information or even defrauding individuals out of money.In the most sophisticated cases, they will set up fake websites, which have a similar address to companies like Unilever. They even conduct fake telephone interviews and then offer candidates a role with the proviso they pay a fee for background checks or to cover work visa costs. These types of attacks are becoming more common as more people are looking for employment in the economic climate.

How is Unilever tackling this?

Many of Unilever’s recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down.

What can I do?

If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat.

Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!


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