CrawlJobs Logo

Research Scientist (Data Science)

quadram.ac.uk Logo

Quadram Institute

Location Icon

Location:
United Kingdom , Norwich

Category Icon

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

37500.00 - 43350.00 GBP / Year

Job Description:

We’re looking for a Postdoctoral Scientist to join the Hildebrand group at the Quadram Institute. Microbial fermentation of plant-based foods is increasingly used to recreate the taste, texture, and nutritional qualities of meat, while improving environmental sustainability. Optimising the production of plant-based foods and ensuring consumer acceptance remain important challenges, further complicated by new and diverse fermentation approaches. In the FlavourFerm consortium, partners are developing novel fermented plant-based foods. This advertised research position will investigate how these foods influence the human gut microbiome and offer potential benefits to host health. Further, taste and texture of these foods will be predicted from microbial fermentation consortia. Specifically, microbes will be identified that affect fermentation outcomes. Building on previous work from the host group, we will develop machine learning tools to model microbial communities and their impact. In the longer term, this research will support the development of human-centric fermented foods that are safe, appealing, and environmentally sustainable.

Job Responsibility:

  • Investigate how fermented plant-based foods influence the human gut microbiome and offer potential benefits to host health
  • predict taste and texture of these foods from microbial fermentation consortia
  • identify microbes that affect fermentation outcomes
  • develop machine learning tools to model microbial communities and their impact
  • support development of human-centric fermented foods that are safe, appealing, and environmentally sustainable
  • close collaborations across Europe
  • attendance and participation in workshops and consortium meetings

Requirements:

  • PhD (or equivalent) in biology, bioinformatics, computer science or a related discipline
  • experienced in bioinformatics, (meta)genomic data, and microbiology
  • knowledge in AI, machine learning, microbial pathogens, microbiology of fermentation, comparative genomics and analysing microbial communities

Nice to have:

specialised skills will be taught and developed through mentorship and collaborations

Additional Information:

Job Posted:
April 24, 2026

Expiration:
May 17, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Research Scientist (Data Science)

Data Scientist

We are seeking a data scientist to join our business intelligence team to help u...
Location
Location
United States , Dallas
Salary
Salary:
Not provided
selectmindsllc.com Logo
Select Minds
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in data science, data analytics, or related field
  • Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
  • Proficiency in Python, Java, or Kotlin
  • Knowledge of data science toolkits such as R, NumPy, and MatLab
  • Experience with big data analytics technologies such as Spark and Hadoop
  • Experience with data visualization tools such as D3.js and Tableau
  • Expertise in data mining and machine learning
  • Working knowledge of statistical models and business intelligence
  • Familiarity with cloud-based infrastructure
  • Ability to store and process unstructured data with NoSQL databases and machine learning models
Job Responsibility
Job Responsibility
  • Formulates and leads guided, multifaceted analytic studies against large volumes of data
  • Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method
  • Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
  • Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges
  • Leads all data experiments tasked by the Data Science Team
  • Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts
  • Develops methodology and processes for prioritization and scheduling of projects
  • Analyzes problems and determines root causes
  • Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture
Read More
Arrow Right

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...
Location
Location
United States , San Jose
Salary
Salary:
148000.00 - 340500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
  • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
  • 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
  • Able to communicate effectively in a variety of formats and collaborate with diverse teams
Job Responsibility
Job Responsibility
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal and professional development programs
  • Inclusive workplace policies
  • Fulltime
Read More
Arrow Right

Data Scientist

At Applied Network Solutions (ANS), we bring together some of the most curious m...
Location
Location
United States , Aurora
Salary
Salary:
100000.00 - 165000.00 USD / Year
go-ans.com Logo
Applied Network Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Active TS/SCI clearance with Polygraph
  • A bachelor’s degree and 10 years of relevant experience. An associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
Job Responsibility
Job Responsibility
  • plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers
What we offer
What we offer
  • Family Medical, Dental (w/ adult orthodontia) and Vision coverage
  • Pet Discount Program
  • PTO (Paid Time Off)
  • Maternity/ Paternity Leave
  • Supplemental Military Leave Pay
  • 11 Paid Holidays
  • 401(k) plan with 6% Company Contribution
  • Generous Professional Development Program
  • 100% Employer paid Short- and Long-Term Disability
  • 100% Employer paid Life Insurance
Read More
Arrow Right

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...
Location
Location
United States , Bellevue; Overland Park
Salary
Salary:
127400.00 - 229800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • 7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
  • 7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • 7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
  • 4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
  • 4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
  • 4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
  • 4-7 years of Experience in data visualization
  • 2-4 years Management consulting, investment banking, or corporate strategy
Job Responsibility
Job Responsibility
  • Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
  • Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
  • Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
  • Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
  • Provide senior level guidance to the data science and measurement science teams on approach and methodologies
  • Communicate important information and insights to business leaders using verbal, written, and data visualization skills
What we offer
What we offer
  • competitive base salary and compensation package
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • access to free, year-round money coaches
  • medical, dental and vision insurance
  • flexible spending account
  • employee stock grants
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Manager, Data Science

The Manager, Data Science role at T-Mobile involves managing data science initia...
Location
Location
United States , Overland Park
Salary
Salary:
133800.00 - 241400.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree required in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field
  • Master’s Degree preferred in similar fields
  • 4+ years of experience in implementing data science-driven solutions
  • 2+ years of management experience or leading/coaching a data science team
  • 4+ years of experience with data querying, wrangling, cleaning, and feature engineering
  • 4+ years of experience with Python, Databricks, R, and other predictive modeling tools
  • 4+ years of experience working with relational databases using SQL
  • 4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions
  • Mathematics: Calculus, linear algebra, statistics, and probability
  • Programming expertise in Python and SQL
Job Responsibility
Job Responsibility
  • Lead the development of major data science initiatives from problem framing to deployment and performance measurement
  • Hire, develop, manage, and retain a team of data scientists
  • Collaborate with cross-functional teams to solve business problems using data science techniques
  • Continuously improve data science operations to optimize efficiency and create scalable solutions.
What we offer
What we offer
  • Medical, dental, and vision insurance
  • Flexible spending account
  • 401(k) plan
  • Employee stock grants and employee stock purchase plan
  • Paid time off and paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care and childcare subsidy
  • Tuition assistance and college coaching
  • Short- and long-term disability insurance
  • Fulltime
Read More
Arrow Right

Data Scientist - Analytics

We are seeking a Data Scientist – Analytics to join our team and help bridge the...
Location
Location
United States , Palo Alto
Salary
Salary:
124000.00 - 186000.00 USD / Year
applovin.com Logo
AppLovin
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline
  • Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis
  • 0–3 years of experience in data analytics or data science (internships or projects count)
  • Proficiency with SQL and at least one analytical programming language (Python preferred)
  • Ability to work with large datasets and translate findings into actionable recommendations
  • Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences
  • Curious, proactive mindset with a desire to learn quickly and contribute meaningfully
Job Responsibility
Job Responsibility
  • Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance
  • Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis
  • Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends
  • Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities
  • Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives
  • Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health
  • Assist in designing A/B tests, computing key metrics, and interpreting results
  • Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making
  • Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics
  • Work with product and business teams to understand analytical needs and translate them into actionable solutions
What we offer
What we offer
  • dental
  • vision
  • other benefits
  • equity
  • other forms of incentive compensation
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Data Science plays a crucial role in driving impact at Taskrabbit. As a member o...
Location
Location
United States , New York; San Francisco
Salary
Salary:
145000.00 - 180000.00 USD / Year
taskrabbit.com Logo
Taskrabbit
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field)
  • A minimum of 5 years industry experience in data science
  • Experience with advanced experimentation and statistical modeling
  • Excellent analytical and problem-solving skills
  • Excellent business acumen and strategic thinking skills
  • Advanced in SQL
  • Experienced in Python
  • Familiar with data pipeline tooling (e.g. dbt) and git
  • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact
  • Ability to communicate complex data findings in a clear and concise manner
Job Responsibility
Job Responsibility
  • Be a strategic thought partner with stakeholders from product, marketing, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches
  • Present actionable insights in a clear and compelling manner
  • Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers, e.g. customer/partner acquisition, retention, conversion, etc
  • Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences
  • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation
What we offer
What we offer
  • employer-paid health insurance
  • 401k match with immediate vesting
  • generous and flexible time off with 2 company-wide closure weeks
  • Taskrabbit product stipends
  • wellness + productivity + education stipends
  • IKEA discounts
  • reproductive health support
  • Fulltime
Read More
Arrow Right

Data Scientist – Mid

The successful candidate will have a passion for building evaluation frameworks ...
Location
Location
Salary
Salary:
Not provided
fortuneminds.com Logo
Fortune Minds
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience independently answering business and related analytics questions with interpretable and direct quantitative approaches
  • Experience in using Python for analysis, including the use of common libraries (pandas, numpy, scipy, matplotlib, seaborn, etc.), creating and sharing jupyter notebooks, and building reusable functions and scripts
  • Experience leveraging various statistical tools to test hypotheses or generate distributions based on observational data to quantify uncertainty and confidence
  • Fluency in using SQL for common data access, transformations, and aggregations
  • Ph.D. or M.S. in Data Science, Computer Science, Physics, Engineering, Operations Research, or related scientific discipline
  • Growth mindset with an interest in developing and maturing skills in statistics, coding, project management, and communication
  • Ability to work in a matrixed, collaborative environment by using clear and direct asynchronous and synchronous communications
  • Intellectual creativity to solve problems using new approaches and techniques
Job Responsibility
Job Responsibility
  • Join a collaborative team of data scientists with a focus on technical excellence, cross-team support, and high impact work
  • Support the development and delivery of data science capabilities that support evolving product capabilities
  • Deliver clear, reproducible analysis while building or improving the teams core capabilities (such as reusable data pipelines, scripts, functions, documentation, etc.) along the way
  • Contribute to stand-ups, technical discussions, internal and external presentations, and team road mapping sessions
Read More
Arrow Right