283 Research Projects jobs in the United Kingdom

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer interaction, experience, behaviour, and insight and strive to ensure we’re always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us?

What’s the position?

We are seeking a highly motivated leader to help develop our sportsbook platform and propel it to the forefront of the industry. You will help co-ordinate the multiple projects we have underway, forging relationships throughout the organisation to best facilitate data-driven prioritisation and continuous incremental improvement of the work carried out by our team of analysts.

You will:

• Report to and represent the Director of Sportsbook R&D internally, directly managing a team comprising Quantitative Analysts, Pricing Analysts, Data Analysts and Competitive Analysts;
• Help gather and define requirements for core sportsbook propositions, communicating them effectively to those internally that are not experts in sportsbook;
• Recommend potential areas for innovation and improvement over and above what you have seen implemented historically;
• Combine your technical and sports betting knowledge to assess the work of analysts and suggest improvements;
• Create structured testing plans for new and existing features to find and fix flaws before they are released to production;
• Be an expert in what our competitors are doing, and not be comfortable in them doing anything better than us;
• Multi-task to deliver multiple simultaneous projects, ensuring our fully remote team are effective at producing their output on time and to the expected standard.

What are we looking for?

We are looking for someone with management experience within the trading function of a sportsbook. Coding capability in at least one (preferably more) of SQL, Python or Java is extremely desirable, as is knowledge of the US sports betting market. You will be analytical, mathematically minded and detail orientated, with excellent communication and presentation skills. There is no minimum qualification for the role, as long as you can demonstrate that you are technically proficient and a subject matter expert in the sports betting world.

What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

• Competitive pay and benefits
• Flexible vacation allowance
• A hybrid home / office working model
• Startup culture backed by a secure, global brand

Roster of Uniques

We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunity employer).

• Design, develop, and implement bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., RNA-Seq, ChIP-Seq, WGS, WES).
• Perform sophisticated statistical and computational analyses of complex biological datasets to identify patterns, generate hypotheses, and extract meaningful insights.
• Develop and maintain custom scripts and algorithms for data processing, quality control, and visualization.
• Collaborate closely with biologists, geneticists, and other researchers to define research questions and provide tailored bioinformatics support.
• Contribute to the interpretation of results and the preparation of manuscripts for publication in peer-reviewed journals.
• Stay current with the latest advancements in bioinformatics, genomics, and related fields, evaluating and implementing new tools and methodologies.
• Manage and organize large datasets, ensuring data integrity and accessibility.
• Provide guidance and training to junior members of the research team on bioinformatics techniques and best practices.
• Contribute to grant proposals and foster collaborations within the scientific community.
• Ensure reproducible research practices through robust documentation and version control.

• A PhD or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
• A minimum of 4 years of hands-on experience in bioinformatics analysis, preferably in a research setting.
• Strong programming skills in Python and/or R, essential for script development and data analysis.
• Proficiency with standard bioinformatics tools and databases (e.g., BLAST, SAMtools, GATK, Ensembl).
• Experience with command-line environments (Linux/Unix) and high-performance computing clusters.
• Solid understanding of statistical methods applicable to biological data analysis.
• Experience with various sequencing technologies and data types.
• Excellent analytical and problem-solving skills, with a meticulous approach to data.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-experts.
• Demonstrated ability to work independently and manage multiple projects effectively in a remote setting.

• Assist in the design, development, and testing of new mechanical systems and components.
• Conduct experiments and gather data under the guidance of senior engineers.
• Utilize CAD software to create and modify engineering designs and drawings.
• Perform theoretical calculations and simulations to analyze system performance.
• Contribute to the documentation of research findings, test results, and project progress.
• Collaborate with team members on various R&D projects.
• Operate and maintain laboratory equipment and testing apparatus.
• Research and evaluate new technologies and materials relevant to ongoing projects.
• Participate in team meetings and contribute to problem-solving sessions.

• Bachelor's degree (2:1 or above) in Mechanical Engineering or a closely related discipline.
• Strong academic record with a good understanding of fundamental engineering principles.
• Interest in research and development within the mechanical engineering field.
• Familiarity with CAD software (e.g., SolidWorks, AutoCAD) is an advantage.
• Basic understanding of laboratory practices and experimental procedures.
• Excellent analytical and problem-solving abilities.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Proactive and eager to learn.

• Assist in the design and development of new mechanical components and systems using CAD software.
• Support the fabrication and assembly of prototypes.
• Conduct experimental testing and data analysis to validate design concepts.
• Collaborate with senior engineers on research projects and feasibility studies.
• Help troubleshoot and resolve engineering issues encountered during the R&D process.
• Prepare technical documentation, reports, and presentations.
• Participate in team meetings and contribute innovative ideas.
• Learn and apply various engineering principles and methodologies.
• Ensure adherence to safety protocols during all lab and workshop activities.
• Support the continuous improvement of R&D processes and tools.

• Recent graduate with a Bachelor's or Master's degree in Mechanical Engineering or a closely related discipline.
• Strong academic record with a solid understanding of core mechanical engineering principles.
• Familiarity with CAD software (e.g., SolidWorks, AutoCAD) is essential.
• Basic knowledge of material science and manufacturing processes.
• Good analytical and problem-solving skills.
• Eagerness to learn and a proactive attitude.
• Excellent communication and teamwork skills.
• Ability to work effectively both independently and as part of a team.
• Familiarity with experimental testing procedures and data acquisition is a plus.