Data Scientist / Statistician Job at 360 Resourcing Solutions (London)

Statistician / Data Scientist

We are seeking a highly skilled Statistician / Data Scientist with experience wo...

Location

United States , Suitland

Salary:

Not provided

BLN24

Expiration Date

Until further notice

Requirements

Degree in Statistics, Data Science, Biostatistics, Economics, or a related quantitative field
Experience working with large unstructured datasets
Strong background in statistical modeling, predictive analytics, and imputation methods
Demonstrated experience with complex survey data and associated estimation techniques
Solid understanding of uncertainty quantification and variance estimation
Proficiency in Python for data science (e.g., pandas, NumPy, scikit-learn, PyMC, statsmodels)
Experience with SAS and modernizing legacy analytical systems into Python environments
Experience with model validation, reproducibility, and cross-platform equivalency testing

Job Responsibility

Lead and support the migration of legacy analytical workflows and models from SAS into cloud ready Python frameworks
Translate existing SAS codebases into scalable, maintainable Python pipelines and frameworks
Validate equivalency and performance of SAS and Python implementations
Develop, test, and validate statistical and predictive models using large, complex, and unstructured datasets
Conduct replication research to ensure robustness and reproducibility of models and findings
Design and implement advanced imputation strategies for missing or incomplete data
Build predictive models for real-world outcomes (e.g., forecasting future residence, income prediction using internal data sources)
Apply appropriate methods for complex survey data, including weighting, variance estimation, and uncertainty quantification
Collaborate with cross-functional teams to translate analytical outputs into operational and strategic insights
Document methodologies, pipelines, assumptions, and results for technical and non-technical audiences

What we offer

generous medical, dental, and vision plans
opportunity to work in different sectors
remote working opportunities

Fulltime

Data Scientist II - Mental Health Outcomes Statistician

This role will be responsible for the careful statistical analysis of mental hea...

Location

United States

Salary:

115000.00 - 150000.00 USD / Year

Equip Health

Expiration Date

Until further notice

Requirements

Ph.D or Masters degree with 5+ years of industry experience required
3+ years experience in developing mathematical and statistical models that measure mental health outcomes used to understand patients, treatment outcomes, and inform treatment decisions
3+ years experience analyzing experimental data, observational data, and handling missing data in real-world treatment settings
3+ years experience with experimental and observational study design
3+ years experience with and deep understanding of causal inference, multilevel models, and other advanced statistical techniques
Established track record in academic writing and publishing
Proficient in SQL, Github, and statistical software (R preferred)
Ability to write clear, maintainable, extensible, and testable code
Demonstrated ability to multi-task and prioritize in a dynamic environment
Independent, organized, and solution-driven

Job Responsibility

Build statistical models that track patient outcomes and are used to inform treatment decisions
Help design experimental and observational studies and write the statistical plans for them
Extract, clean, transform, and optimize data for analysis
Analyze patient data, write internal reports, present to stakeholders, and publish in academic journals
Translate complex findings into understandable reports, visualizations, and recommendations for technical and non-technical audiences
Work with cross-functional teams to understand needs and identify where careful analysis and statistical research can support treatment
Perform other duties as assigned

What we offer

Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays
Competitive Medical, Dental, Vision, Life, and AD&D insurance
Equip pays for a significant percentage of benefits premiums for individuals and families
Maven, a company paid reproductive and family care benefit for all employees
Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more
$50/month stipend added directly to an employee’s paycheck to cover home internet expenses
One-time work from home stipend of up to $500

Fulltime

Lead Data Scientist

Location

Canada , Ottawa

Salary:

Not provided

Fullscript

Expiration Date

Until further notice

Requirements

Have you personally designed and led a causal inference study using observational (non-randomized) data?
What type of healthcare data have you worked with at the patient level?
In your applied work (not coursework), which of the following have you used to strengthen causal claims in observational data?
Have your analytical findings directly influenced executive-level decisions?
Have you led or formally managed other data scientists, statisticians, or ML engineers?
How many years have you spent designing causal inference studies in applied (non-academic) environments?
Are you legally eligible to work full time in Canada without sponsorship?

Fulltime

Lead Data Scientist MSAT GCC

Work with global multidisciplinary teams to accelerate data-driven process under...

Location

India , Bengaluru

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

Preferred Level of Education: Masters degree or PhD in data science, computer science, statistics, mathematics, or related field
10-16 years of experience in pharmaceutical or biopharmaceutical MSAT in applying data science and/or programming within industry and/or university, preferably within pharmaceutical industry in multidisciplinary multicultural teams
Fluent in English (verbal and written)
Strong written/oral communication and presentation skills with proven experience of communicating at different levels across an organisation including communicating complex information in logical and simplified terms
Strong programming skills with at least one scientific programming language e.g. Python, R, MATLAB
Expertise in applying data science within the pharmaceutical industry
Strong knowledge of relevant regulations and guidelines, e.g, stability guidelines (ICH, USP), relevant chapters from Eur.Ph.
Long-term experience with Health Authorities such as FDA, EMA, etc.

Job Responsibility

Act as an essential partner within cross-functional global teams by providing data science expertise to design, develop, and optimize business-impacting data solutions
Actively participate in all stages of model design and development (from data collection, data quality control, model building, model validation, testing, and model monitoring & lifecycle strategy) adhering to business leadership standards
Design, build, and maintain highly complex quantitative and analytical models to inform/drive strategic direction and/or improve business performance
Lead the data analysis, and exploration, reporting and communication of results and conclusions in the form of technical documents and presentations in accordance with regulatory and internal guidance
Review the data science element of technical documents as a Subject Matter Expert
Influence GSK internal policies, guidelines and SOPs to ensure appropriate data evaluation
Actively participate with the wider data science network (MSAT, Quality, TRD and R&D, as well as with the GPS community) to develop, align and standardize data evaluation methodologies and conventions
Upskill the organisation through coaching, mentoring, and training of non-experts and junior statisticians and data scientists as required on the appropriate application of data science, statistics, and data evaluation tools
Manage external and internal collaborations with statistical and data science thought leaders and groups in other functions and divisions
Monitor and assess new and emerging industry trends and evolving regulatory expectations for data science technologies (such as Machine/Deep Learning and Artificial Intelligence)

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes

Fulltime

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Lead Data Scientist

Prism Data is building the future of credit risk assessment using modern data sc...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

150000.00 - 195000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
Master’s or PhD is a plus
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Cash flow underwriting analytics experience is a strong plus
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Expertise building Gradient Boosting models is a plus

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

Equity-based compensation
Comprehensive benefit plan, including medical, dental, vision, and 401(k)

Fulltime

Data Manager Project Leader

We are currently seeking a Program Manager, Clinical Data Science to join our di...

Location

United States , Blue Bell

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

Bachelor’s degree in data science, statistics, clinical research, or a related field
Advanced degree and/or relevant certifications are preferred
Extensive experience in program management within the clinical data science or related domain
Strong background in data science methodologies, statistical analysis, and clinical research, with a track record of successfully managing complex data-driven projects
Exceptional leadership skills with experience managing cross-functional teams and collaborating with various departments to achieve program objectives
Proficiency in project management tools and techniques, with experience in risk management, budgeting, and resource planning
Excellent communication and interpersonal skills, with the ability to convey complex data insights clearly and build effective relationships with stakeholders at all levels

Job Responsibility

Managing the end-to-end execution of clinical data science programs, including planning, resource allocation, and delivery of data science projects within scope, time, and budget constraints
Coordinating with data scientists, statisticians, clinical researchers, and other stakeholders to ensure alignment on project objectives, data requirements, and analytical approaches
Developing and maintaining program plans, timelines, and budgets, and monitoring progress to ensure timely and successful completion of data science initiatives
Providing strategic oversight and guidance on data science methodologies, ensuring that analyses are rigorous, valid, and aligned with clinical and regulatory standards
Communicating program status, insights, and outcomes to stakeholders, including executive leadership, and addressing any issues or risks that may impact program success

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others

Program Manager, Clinical Data Science, Sponsor Dedicated

We are currently seeking a Program Manager, Clinical Data Science to join our di...

Location

United States

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

Bachelor’s degree in data science, statistics, clinical research, or a related field
Extensive experience in program management within the clinical data science or related domain
Strong background in data science methodologies, statistical analysis, and clinical research, with a track record of successfully managing complex data-driven projects
Exceptional leadership skills with experience managing cross-functional teams and collaborating with various departments to achieve program objectives
Proficiency in project management tools and techniques, with experience in risk management, budgeting, and resource planning
Excellent communication and interpersonal skills, with the ability to convey complex data insights clearly and build effective relationships with stakeholders at all levels

Job Responsibility

Managing the end-to-end execution of clinical data science programs, including planning, resource allocation, and delivery of data science projects within scope, time, and budget constraints
Coordinating with data scientists, statisticians, clinical researchers, and other stakeholders to ensure alignment on project objectives, data requirements, and analytical approaches
Developing and maintaining program plans, timelines, and budgets, and monitoring progress to ensure timely and successful completion of data science initiatives
Providing strategic oversight and guidance on data science methodologies, ensuring that analyses are rigorous, valid, and aligned with clinical and regulatory standards
Communicating program status, insights, and outcomes to stakeholders, including executive leadership, and addressing any issues or risks that may impact program success

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others

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Data Scientist / Statistician

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