Elucidata Bioinformatics & Life Sciences Technical Lead Job For MSc & BSc Candidates – Apply Online

Elucidata Bioinformatics & Life Sciences Technical Lead Job For MSc Candidates – Apply Online

Elucidata Bioinformatics & Life Sciences Technical Lead Job For MSc Candidates – Apply Online. MSc Bioinformatics, Computational Biology job openings. BSc Bioinformatics, Computational Biology job openings. Interested and eligible applicants can check out all of the details on the same below

Technical Lead (Bioinformatics/Life Science)

Location: Hybrid (Delhi/Bengaluru)

Key Responsibilities:

• Technical Leadership: Guide your team in crafting innovative solutions that combine the latest advancements in bioinformatics with cloud technologies, ensuring efficient and accurate data analysis. Nurture a collaborative and high-performing team environment.
• Productization and Collaboration: Collaborate with internal and external scientists to productize their work, build reusable packages, and develop new tools and pipelines for diverse biological data processing and structuring needs.
• Quality and Innovation: Implement quality control measures and continuously improve existing pipelines. Your ability to think creatively and critically will lead to breakthroughs that enhance the speed, accuracy, and reliability of our pipelines.
• Strategic Decision-Making: Contribute to strategic decision-making processes that shape the direction of our bioinformatics endeavors. Your insights and recommendations will be instrumental in choosing the right architecture, tools, and methodologies that ensure our pipelines remain at the cutting edge of the field.
• Communication: Effectively communicate cost estimates and timelines to business. Prepare QC reports for both technical and non-technical stakeholders.

Requirements:

• Educational Background: Master’s in Computer Science, Bioinformatics, Computational Biology, or a related technical discipline. Candidates with a Bachelor’s degree and considerable relevant experience will also be considered.
• Experience: Minimum of 3 years of hands-on experience in bioinformatics, with at least 1 year in a leadership or supervisory role.
• Technical Skills: Proficiency in programming languages commonly used in bioinformatics (e.g., Python, Shell), experience with Git or other version control systems and use of APIs. Strong fundamentals in computer science.
• Data Analysis: Demonstrated experience in applying computational algorithms and statistical methods to structured and unstructured big data.
• Cloud Experience: Familiarity with AWS or other cloud platforms, CI/CD pipelines, container technology, workflow orchestration tools like Nextflow, Airflow etc is a major plus.
• Leadership Abilities: Proven ability to mentor and guide peers and lead day-to-day operations.
• Communication and Collaboration: Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.

Benefits We Offer:

• Competitive compensation, including ESOPs.
• Unlimited vacation and holiday time off.
• Best-in-class health insurance and mental health benefits.
• A remote-first work environment with the flexibility to work from anywhere.
• Structured learning program for professional growth.
• The opportunity to be part of a dynamic team in a growing company.

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Possible Interview Questions:

1. Can you describe a challenging project you’ve led in the past? How did you ensure successful collaboration among team members and achieve the desired outcomes? Answer: Certainly. In my previous role, I led a project focused on developing a novel pipeline for metagenomic analysis. I ensured successful collaboration by organizing regular cross-functional meetings, fostering open communication, and setting clear goals. This led to effective teamwork and a successful pipeline that improved data analysis efficiency.
2. Could you elaborate on your experience with productization and building reusable packages for biological data processing? Answer: Of course. In my current role, I collaborated with both internal and external scientists to convert their research into user-friendly tools and packages. This involved understanding their needs, translating them into software features, and ensuring robustness. This approach not only streamlined data processing but also enhanced the accessibility of our tools for wider use.
3. Can you share an instance where you’ve introduced innovative quality control measures to improve existing bioinformatics pipelines? Answer: Certainly. I implemented a comprehensive automated testing framework for our data analysis pipeline that validated intermediate outputs against expected results. This reduced errors and enhanced data reliability. Additionally, I introduced regular code reviews and version tracking, contributing to a more reliable and efficient pipeline.
4. Could you discuss a strategic decision you’ve contributed to in your previous role that significantly impacted the direction of bioinformatics projects? Answer: Absolutely. In a recent project, we were deciding between using a traditional on-premises infrastructure or migrating to a cloud platform. I conducted a thorough evaluation and advocated for a cloud-based approach due to its scalability and cost-efficiency. This strategic decision allowed us to handle larger datasets effectively and improve overall pipeline performance.
5. Can you provide an example of how you’ve communicated technical concepts and complex ideas to non-technical stakeholders in the past? Answer: Certainly. While presenting the results of a complex transcriptomics analysis to the executive team, I focused on conveying the impact of the findings on business decisions rather than delving into technical details. I used visual aids and relatable analogies, making the information accessible and highlighting the significance of the analysis to the broader company goals.

Remember, these answers are just examples. You should adapt your responses based on your actual experience and achievements.

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