Data Scientist - ! day per week in the London Office

Lumanity; London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

Lumanity is seeking a Data Scientist to join our Application Development & Innovation team in London. This role focuses on working with complex data to create Small Language Models, supporting commercial data requirements, and contributing to GenerativeAI product development. Candidates should have a strong background in analytics and proficiency with statistical methods and tools. We offer a comprehensive benefits package, including a competitive salary and opportunities for professional development.

Benefits

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

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 in a range of analytics tools including R, SPSS, Excel, Git, Python, SQL, and Postgres.

Responsibilities

• Work with complex data to create Small Language Models.
• Apply complex statistical methods to a range of pharmaceutical market research data.
• Design and implement advanced statistical modeling and market research techniques.

Skills

R

SPSS

Excel

Git

Python

SQL

Postgres

Education

Degree in Analytics-related Field

Job description

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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