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Senior Data Science Engineer Medellin, Colombia, Remote Job Opening In WorkFromHome – Now Hiring Brightgrove Ltd.


Job description

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About the Client

A pioneering biotech company dedicated to advancing longevity and regenerative medicine.

By harnessing breakthroughs in cellular biology, AI-driven analytics, and bioengineering, we develop cutting-edge solutions to enhance health and extend lifespan.

Our multidisciplinary team of scientists, data engineers, and researchers collaborates to drive innovation in ageing research, biomarker discovery, and precision health technologies.

You’ll work on a platform that applies LLM-based pipelines to scientific literature, transforming it into structured knowledge that drives scientific research and insights.

Your Team

We’re looking for a Senior Data Science to join a small, cross-functional team (2 engineers, 2 biologists) delivering value in fast, iterative cycles.

You’ll work in a dynamic startup environment with shifting priorities and uncertainty.

The Data Scientist will play a pivotal role in analyzing and interpreting large-scale omics datasets—particularly proteomics—to accelerate the discovery of biomarkers, biological mechanisms, and drug targets related to human aging, healthspan, and lifespan.

This role focuses on building, maintaining, and optimizing computational pipelines for both longitudinal and cross-sectional analyses, supported by robust statistical validation.

The successful candidate will contribute to an AI-driven drug discovery platform by overseeing quality control, generating derived phenotypes, automating metadata curation, and integrating external datasets.

This position requires strong expertise in data science, bioinformatics, and applied statistics, paired with a passion for transforming complex biological data into actionable therapeutic insights.

What's in it for you

  • Interview process that respects people and their time
  • Professional and open IT community
  • Internal meet-ups and resources for knowledge sharing
  • Time for recovery and relaxation
  • Bright online and offline events
  • Opportunity to become part of our internal volunteer community

Responsibilities

  • Design, maintain, and optimize scalable pipelines for large-scale omics data analysis, with a strong focus on proteomics.

    This includes implementing and refining statistical methods for both longitudinal and cross-sectional studies.

  • Automate the creation of data dictionaries from unstructured or semi-structured sources.

  • Conduct rigorous quality control on high-dimensional omic and phenotypic datasets, addressing inconsistencies, missing data, and batch effects.

    Generate secondary phenotypes to support advanced longitudinal studies.

  • Validate analytical outputs with replication, sensitivity testing, and independent checks to ensure robustness, accuracy, and biological relevance.

  • Troubleshoot and fix bugs, refactor legacy code, and maintain thorough technical documentation, including user guides and annotations, to support internal reproducibility and collaboration.

  • Integrate and analyze external datasets from public repositories, scientific literature, or proprietary sources, ensuring harmonization, annotation, and benchmarking against internal data.

  • Communicate research findings effectively within the data science group and across interdisciplinary teams.

Skills

  • Bachelor’s degree or higher in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative discipline (required).

  • Hands-on experience working with high-dimensional biological data, such as omics (e.g., proteomics, transcriptomics), phenotypic, or clinical datasets (desirable).

  • Proficiency in Python and/or R, with demonstrated experience in building and maintaining data analysis pipelines.

  • Strong foundation in statistics and data quality control methods, particularly in the context of longitudinal and cross-sectional studies.

  • Excellent problem-solving skills, attention to detail, and the ability to work independently as well as collaboratively in a fast-paced research setting.

  • Clear communication skills, with the ability to document processes thoroughly and present findings to cross-functional teams.

  • Additional expertise—such as published work or domain knowledge in aging biology, molecular biology, medicine, or drug discovery—is a strong plus.

Apply Now

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Brightgrove Ltd. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Senior Data Science Engineer Medellin, Colombia, Remote typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Science Engineer Medellin, Colombia, Remote Job Success

Brightgrove Ltd. interview tips for Senior Data Science Engineer Medellin, Colombia, Remote

Here are some tips to help you prepare for and ace your Senior Data Science Engineer Medellin, Colombia, Remote job interview:

Before the Interview:

Research: Learn about the Brightgrove Ltd.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Science Engineer Medellin, Colombia, Remote interview at Brightgrove Ltd., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Brightgrove Ltd.'s products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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