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- Tasks: Dive into data science to unlock insights from complex biological datasets.
- Company: Join Altos Labs, a leader in cell rejuvenation and scientific innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment focused on diversity and belonging.
- Why this job: Make a real impact on health by advancing cutting-edge research.
- Qualifications: PhD in quantitative science and experience with large-scale data analysis.
The predicted salary is between 64600 - 87400 ÂŁ per year.
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
Our Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute To Altos
We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities include:
- Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems.
- Design, develop and program methods, processes, and systems to extract, consolidate and analyse unstructured, diverse “big data” sources to generate actionable insights.
- Build databases and be responsible for the curation of Data, including experimental data management.
- Extract knowledge, insights and predictions from data using statistical methods, machine learning and data visualisation.
- Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement.
- Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards.
- Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets.
- Develop and code software programs and leverage algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs.
- Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
- Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research.
- Embed analyses and visualisations in automated reports.
Who You Are
Minimum Qualifications
- PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc.
- Relevant work experience in either an academic or industry setting.
- Working knowledge of cell biology and experience in large scale data analysis and statistical modelling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc.
- Proven track record of completed scientific projects as evidenced by publications and preprints.
- Strong breadth and expertise in Statistical analysis, machine learning, data visualisation, programming (Python, R, etc.), data cleaning and data manipulation.
- Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI.
- Ability to generate high quality ideas and be self-driven to explore.
- Strong experience in programming and comfortable modifying existing code-base.
- Experience with Python, R data cleaning and data manipulation or other related scientific languages.
- Willing to work in a collaborative environment and share periodic updates across the company.
Preferred Qualifications
- Strong and demonstrable experience working in an AWS compute environment is a major advantage.
- Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines.
Salary Information
The salary range for Cambridge, UK:
- Scientist I, Data Science: ÂŁ64,600 - ÂŁ87,400
- Senior Scientist I, Data Science: ÂŁ88,000 - ÂŁ132,000
Exact compensation may vary based on skills, experience, and location.
What We Want You To Know
We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).
Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos.
Scientist, Data Science employer: Second Renaissance
Contact Detail:
Second Renaissance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scientist, Data Science
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Altos Labs on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into their mission and values. Show us how your skills in data science can help restore cell health and resilience. Tailor your examples to align with what they’re passionate about!
✨Tip Number 3
Don’t just talk about your technical skills; share stories of collaboration. Altos values teamwork, so highlight times when you’ve worked closely with others to solve complex problems or drive projects forward.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Altos community.
We think you need these skills to ace Scientist, Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your expertise in data analysis, machine learning, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about cell rejuvenation and how your background makes you a perfect fit for our team. Be genuine and let your personality come through.
Showcase Your Projects: If you've got publications or projects that demonstrate your skills in data science, make sure to include them. We love seeing real-world applications of your work, especially if they relate to genomics or big data!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, you’ll find all the info you need about the role and our company there!
How to prepare for a job interview at Second Renaissance
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of datasets mentioned in the job description, like RNA-seq and ATAC-seq. Brush up on your statistical analysis and machine learning techniques, as you'll likely be asked to discuss how you've applied these in past projects.
✨Showcase Your Collaborative Spirit
Since Altos values collaboration, prepare examples that highlight your experience working with scientists or cross-functional teams. Be ready to discuss how you’ve contributed to a team environment and how you can help foster a sense of belonging.
✨Demonstrate Your Programming Prowess
Be prepared to talk about your programming skills, especially in Python and R. You might even be asked to solve a coding problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Stay Current with Trends
Research the latest trends in data science and cell biology. Being able to discuss recent methodologies or tools that could benefit Altos will show your passion for the field and your commitment to continuous learning.