At a Glance
- Tasks: Transform complex scientific data into actionable insights and collaborate with scientists and engineers.
- Company: Join TetraScience, a leader in Scientific Data and AI revolution.
- Benefits: Competitive salary, equity, generous PTO, and remote work options.
- Other info: Dynamic role with customer engagement and opportunities for professional growth.
- Why this job: Make a real impact in scientific discovery and drive AI innovation.
- Qualifications: PhD or Masters with extensive experience in life sciences and data-driven solutions.
The predicted salary is between 36000 - 60000 £ per year.
Who We Are
TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships.
Who You Are
You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.
You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be software-savvy and data fluent with skills to translate scientific workflow to data-related requirements and understand the software implication. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand.
Requirements
- PhD with +5 years or Masters with +10 years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality.
- Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing.
- Delivered requirements for data-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization.
- Proven experience and capability to analyze and articulate the business impact of the data-driven solutions via ROI analysis, live presentation, case study.
- Exceptional communication and storytelling ability to engage technical and executive stakeholders.
- Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus.
- Prior experience in customer-facing, consulting, or commercial-scientific interface roles.
- Comfortable with basic scripting and data structures, and familiarity with software tools, databases.
What You Will Do
- Engage directly with customers onsite up to 4-5 days per week in the UK Region.
- Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities.
- Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases.
- Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes.
- Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI.
- Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions.
- AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance.
- Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption.
- Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development.
Benefits
Competitive Salary and equity in a fast-growing company. Supportive, team-oriented culture of continuous improvement. Generous paid time off (PTO). Remote working opportunities, when not at customer sites.
Scientific Business Analyst in Macclesfield employer: TetraScience
At TetraScience, we pride ourselves on being a leader in the Scientific Data and AI sector, offering a dynamic work environment that fosters collaboration and innovation. Our supportive, team-oriented culture encourages continuous improvement and provides ample opportunities for professional growth, making it an ideal place for passionate individuals looking to make a meaningful impact in the life sciences field. With competitive salaries, equity options, and generous paid time off, we ensure our employees are well-rewarded for their contributions while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Business Analyst in Macclesfield
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TetraScience!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Scientific Business Analyst at TetraScience.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TetraScience.
✨Apply Directly through Our Website
When you find a suitable opening like Scientific Business Analyst at TetraScience, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Scientific Business Analyst in Macclesfield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TetraScience, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TetraScience. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TetraScience
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TetraScience!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
