Computational Biologist

Altos Labs; Cambridge; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading biotechnology company in Cambridge is seeking a Computational Scientist to provide bioinformatics support for projects on adult stem cell ageing. Candidates should have a PhD in life sciences or a quantitative field, with skills in bioinformatics and programming. This role emphasizes collaboration and problem-solving within an innovative research environment. Competitive compensation to be discussed.

Qualifications

• Proficient in leveraging advanced bioinformatics tools for processing sequencing data.
• Experience integrating genomic and pathway/network datasets.
• Fluency in programming languages such as R and Python.
• Understanding of standard statistical methods in real-world contexts.
• Ability to apply computational approaches to biological inquiries.

Responsibilities

• Provide computational biology support for various projects.
• Use advanced bioinformatics tools for data processing.
• Work collaboratively in an international team environment.
• Present complex methods to non-experts.

Skills

Bioinformatics tools

Programming languages (R, Python)

Statistical methods

Collaboration skills

Problem-solving

Communication skills

Education

PhD in life sciences or quantitative field

Job description

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

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

An exciting 18 month defined term contract opportunity is available for a Computational Scientist to join the Franklin Lab, at Altos’ Cambridge Institute of Science (Cambridge, UK).

The group seeks to recruit a Computational Scientist to join a multidisciplinary and collaborative team at Altos Cambridge that aims to understand the basis of adult stem cell ageing and how it can be reversed. The main role of the candidate will be to provide computational biology support for a number of projects taking place within the group.

About the Franklin Lab at Altos

The Franklin Lab at Altos is led by Robin Franklin, FRS, who has made many pioneering discoveries on the mechanisms by which adult stem cells contribute to the regenerative biology of the CNS, and specifically how CNS progenitors replace lost oligodendrocytes, how their function declines with aging and how this can be reversed.

Responsibilities

• Proficient in leveraging advanced bioinformatics tools for the comprehensive processing of sequencing data, spanning from raw reads to analytical outputs.
• Experience integrating genomic and pathway/network datasets with novel experimental data to derive biological understanding.
• Fluency in programming languages such as R, Python, or other widely adopted languages to enhance analytical and visualization capabilities.
• Understanding of standard statistical methods with proven examples in real-world context.
• Possess a nuanced comprehension of biology and/or translational research, coupled with the ability to apply computational approaches to address complex biological inquiries.
• Established ability to translate team’s scientific questions into analytical strategies and methods.
• Strong collaboration skills and ability to work as part of a team in an international and interdisciplinary environment.
• Excellent communication skills. Ability to present complex computational methods to non-experts.
• Outstanding problem-solving skills and a positive 'can-do' attitude.

Who You Are

Minimum Qualifications

We are looking for a Scientist / Senior Scientist, Computational Biology to join our Lab. Qualified applicants will have a PhD in life sciences with significant computational experience OR in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background. In addition, the candidates will have strong training in most of the following fields/areas of expertise:

• Proficient in leveraging advanced bioinformatics tools for the comprehensive processing of sequencing data, spanning from raw reads to analytical outputs.
• Experience integrating genomic and pathway/network datasets with novel experimental data to derive biological understanding.
• Fluency in programming languages such as R, Python, or other widely adopted languages to enhance analytical and visualization capabilities.
• Understanding of standard statistical methods with proven examples in real-world context.
• Possess a nuanced comprehension of biology and/or translational research, coupled with the ability to apply computational approaches to address complex biological inquiries.
• Established ability to translate team’s scientific questions into analytical strategies and methods.
• Strong collaboration skills and ability to work as part of a team in an international and interdisciplinary environment.
• Excellent communication skills. Ability to present complex computational methods to non-experts.
• Outstanding problem-solving skills and a positive 'can-do' attitude.
• A strong sense of collective ownership of projects within the lab and across Altos.

Preferred Qualifications

In addition, we seek Scientists who can demonstrate:

• Critical and creative thinking with an ability to formulate scientific questions, design strategies, and implement the plans effectively.
• Ability to work independently and with others.
• A demonstrated high productivity and ability to complete work in a timely manner.
• Problem-solving skills to identify potential issues, test, and develop innovative solutions.
• Excellent writing and communication skills.

Exact compensation may vary based on skills, experience, and location.

The salary range for Cambridge, UK: [salary information not specified in this refined version].

Equal Opportunity Employment

We value collaboration and scientific excellence. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, 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. Altos prohibits unlawful discrimination and harassment. 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 Labs is committed to an inclusive environment and to equal opportunity for all applicants.

Note

For privacy and security information, refer to the Altos Labs EU and UK Applicant Privacy Notice in the job posting. This notice is not a contract, express or implied and it does not set terms or conditions of employment.