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- Tasks: Join our team to analyse complex data and develop innovative AI solutions.
- Company: Lumanity is dedicated to enhancing patient health through strategic partnerships in life sciences.
- Benefits: Enjoy competitive salary, private health insurance, generous holidays, and a healthy work/life balance.
- Why this job: Be part of a dynamic team making a real impact in biopharma with cutting-edge technology.
- Qualifications: Strong degree in analytics and 5+ years in data science or research analytics required.
- Other info: Hybrid role based in London, with flexible working options.
The predicted salary is between 43200 - 72000 £ per year.
Overview / About us
Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complimentary areas of focus: Strategy & Insights, Value, Access, & Outcomes, and Medical Strategy & Communications.
Responsibilities / Position overview
As a member of our Application Development & Innovation team, the Data Scientist will work with complex data to create Small Language Models and work with a broad range of stakeholders with a variety of commercial data requirements including Real World Evidence data ingestion and normalization, market and product data to support biopharma commercial product launches, and complex quant and qual research projects.
This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods.
- Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/survey), data pre-processing with a data scientist mentality (“automate & re-use”).
- Small Language Models: be able to prepare and use data to build small language models in conjunction with the Lumanity Application Development & Innovation team.
- Segment complex (market research) data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models
- Work on the design and implementation of advanced statistical modeling and market research techniques, such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities.
- Articulate advanced statistical and data science modelling features into (software) product requirements.
- Work as an integrated effective team member of a software development process.
Qualifications
- Strong degree (2:1) in any analytics related field (e.g. statistics, mathematics, physics, engineering) subject and/or professional qualification.
- 5+ years’ experience in research or professional data science-driven services organization
- 5 years’ experience in research-based analytics/statistical project support role
- Proficient Analytics Toolkit: R, SPSS, Excel, Git, Python, SQL, Postgres & cloud computing expertise desirable.
- Consistently able to apply a range of research methods and demonstrate honed analytics skills
- Strong communication skills and interpersonal skills
- Solid project management skills
- Demonstrated experience building and maintaining client relationships
- Commercially focused mindset
- Coaching, Leadership and Management experience
Technical skillset:
- Segmentation & Discriminant analysis & tools (essential)
- Predictive modelling (e.g. logistic regression) (essential)
- Choice/Allocation based models (essential)
- Decision/Regression based trees (essential)
- Key Driver analysis methods (essential)
- Multivariate analysis (essential)
- Machine learning/AI methods (essential)
- Experimental design (desirable)
- Bayesian methods (desirable)
- Time series analytics (desirable)
- Text analytics (desirable)
- Data science best practices (e.g. version control, scripts & libraries, reproducibility) and structured data wrangling (desirable)
- BI & web-app development (desirable)
- Unstructured data wrangling (desirable)
Benefits
We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a healthy work/life balance:
- Competitive salary plus annual bonus scheme
- Private health insurance plus enhanced dental and optical cover
- Generous pension scheme
- Generous number of days paid holiday
- Enhanced maternity and paternity pay for employees with 2+ years of service
- Access to comprehensive Mortgage Advisor Service
- Group income protection
- Life assurance coverage at 4x base salary
- EV car scheme and more
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Data Scientist - Based in London office 1-2 days/week employer: Lumanity
Contact Detail:
Lumanity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Based in London office 1-2 days/week
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as R, Python, and SQL. Having hands-on experience or projects that showcase your proficiency in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data science field, especially those who work in the life sciences sector. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land an interview.
✨Tip Number 3
Prepare to discuss your experience with complex data analysis and statistical modelling during interviews. Be ready to provide examples of how you've applied these skills in previous roles, particularly in a commercial context.
✨Tip Number 4
Showcase your ability to work collaboratively by highlighting any past experiences where you successfully worked within a team on data-driven projects. This role requires effective communication with various stakeholders, so demonstrating your interpersonal skills is key.
We think you need these skills to ace Data Scientist - Based in London office 1-2 days/week
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with statistical modelling and analytics tools like R, Python, and SQL. Emphasise any projects that involved building language models or working with complex datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for improving patient health through data science. Mention specific experiences that align with Lumanity's mission and the responsibilities of the Data Scientist role, such as your experience with market research data and generative AI.
Showcase Your Technical Skills: Clearly list your technical skills relevant to the job description, such as predictive modelling, machine learning methods, and data wrangling techniques. Provide examples of how you've applied these skills in previous roles or projects.
Highlight Communication and Teamwork: Since the role involves working with various stakeholders, emphasise your strong communication and interpersonal skills. Share examples of successful collaborations in past projects, showcasing your ability to articulate complex data findings to non-technical audiences.
How to prepare for a job interview at Lumanity
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in tools like R, Python, and SQL during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in relation to statistical modelling and data analysis.
✨Demonstrate Your Problem-Solving Ability
Prepare examples of how you've tackled complex data challenges in the past. Discuss your approach to building Small Language Models and how you normalised data for various platforms, as this will resonate with the role's requirements.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice articulating complex statistical concepts in a way that is easy to understand, as you'll need to collaborate with a range of stakeholders who may not have a technical background.
✨Understand the Company’s Mission
Familiarise yourself with Lumanity's focus on improving patient health and their approach to market research. Being able to connect your skills and experiences to their mission will demonstrate your genuine interest in the role and the company.