514 Bioinformatics jobs in India

About the Role:

The person in this role will be responsible for delivering AI solutions to customers on top of Elucidata’s technology. This role involves a unique blend of applying AI, a deep understanding of biology, and complex data to generate actionable insights. In this customer-facing role, you will work with commercial teams to grow accounts and develop new opportunities. The role requires strong communication skills and a customer-first mindset.

Key Responsibilities:

• Oversee customer projects from inception to completion, ensuring timely delivery and quality of deliverables.
• Innovate on tools and pipelines to analyze multi-modal biological data.
• Stay abreast of emerging technologies in the domain to architect innovative solutions addressing client pain points.
• Lead and manage customer-facing projects and multidisciplinary teams of biological scientists, ML-engineers and data scientists.
• Build and maintain strong customer relationships by delivering within timelines and within budget
• Work with internal R&D teams to align goals with customer expectations.
• Identify opportunities to expand our business with existing customers and generate new commercial opportunities.
• Support the sales team in pre-sales activities, including product demonstrations, technical presentations, and proposal development.

Qualifications :

• Ph.D. with 2-3 years of industrial/academic experience in Bioinformatics, Computational Biology, or a related field.
• Proven expertise in processing and analyzing multi-omics data (e.g., genomics, transcriptomics, proteomics, metabolomics, etc.) with a strong emphasis on end-to-end analysis of single-cell transcriptomics data to derive actionable insights.
• Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
• Experience leading customer-facing projects with successful delivery records.

Good-to-have:

• Proficiency in coding with both R and Python
• Experience in performing integration analysis of NGS data across different modalities
• Experience working with cloud technologies and scalable computing platforms
• Familiarity with AI/ML applications in biomedical data analysis.
• Strong publishing record in peer-reviewed journals
• Ability to think strategically and translate customer needs into technical solutions.
• Strong analytical skills and attention to detail.
• Demonstrated experience in a customer-facing role, with the ability to build and maintain positive customer relationships.

We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Benefits of working with us:

• Competitive compensation including ESOPs
• Unlimited vacation and holiday time off
• Structured learning program for growth
• The opportunity to be part of a dynamic team in a growing company

Learn more about us:

• Elucidata at first glance is a good place to know about the industry and the opportunity
• Fast company named Elucidata one of the most innovative biotech companies of 2024.
• What our team says about the team at Elucidata
• We are a YourStory Tech 30 winner
• Our pitch at Tech 30 about how biological data is crucial for humanity
• Watch Polly’s 2021 User Group Meeting to learn more about the product
• Our $16mn series A funding announcement
• The founders - Dr. Abhishek Jha , Swetabh Pathak , and Dr. Richard Kibbey .

About the Role:

The person in this role will be responsible for delivering AI solutions to customers on top of Elucidata’s technology. This role involves a unique blend of applying AI, a deep understanding of biology, and complex data to generate actionable insights. In this customer-facing role, you will work with commercial teams to grow accounts and develop new opportunities. The role requires strong communication skills and a customer-first mindset.

Key Responsibilities:

• Oversee customer projects from inception to completion, ensuring timely delivery and quality of deliverables.
• Innovate on tools and pipelines to analyze multi-modal biological data.
• Stay abreast of emerging technologies in the domain to architect innovative solutions addressing client pain points.
• Lead and manage customer-facing projects and multidisciplinary teams of biological scientists, ML-engineers and data scientists.
• Build and maintain strong customer relationships by delivering within timelines and within budget
• Work with internal R&D teams to align goals with customer expectations.
• Identify opportunities to expand our business with existing customers and generate new commercial opportunities.
• Support the sales team in pre-sales activities, including product demonstrations, technical presentations, and proposal development.

Qualifications :

• Ph.D. with 2-3 years of industrial/academic experience in Bioinformatics, Computational Biology, or a related field.
• Proven expertise in processing and analyzing multi-omics data (e.g., genomics, transcriptomics, proteomics, metabolomics, etc.) with a strong emphasis on end-to-end analysis of single-cell transcriptomics data to derive actionable insights.
• Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
• Experience leading customer-facing projects with successful delivery records.

Good-to-have:

• Proficiency in coding with both R and Python
• Experience in performing integration analysis of NGS data across different modalities
• Experience working with cloud technologies and scalable computing platforms
• Familiarity with AI/ML applications in biomedical data analysis.
• Strong publishing record in peer-reviewed journals
• Ability to think strategically and translate customer needs into technical solutions.
• Strong analytical skills and attention to detail.
• Demonstrated experience in a customer-facing role, with the ability to build and maintain positive customer relationships.

We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Benefits of working with us:

• Competitive compensation including ESOPs
• Unlimited vacation and holiday time off
• Structured learning program for growth
• The opportunity to be part of a dynamic team in a growing company

Learn more about us:

• Elucidata at first glance is a good place to know about the industry and the opportunity
• Fast company named Elucidata one of the most innovative biotech companies of 2024.
• What our team says about the team at Elucidata
• We are a YourStory Tech 30 winner
• Our pitch at Tech 30 about how biological data is crucial for humanity
• Watch Polly’s 2021 User Group Meeting to learn more about the product
• Our $16mn series A funding announcement
• The founders - Dr. Abhishek Jha , Swetabh Pathak , and Dr. Richard Kibbey .

About the Role:

The person in this role will be responsible for delivering AI solutions to customers on top of Elucidata’s technology. This role involves a unique blend of applying AI, a deep understanding of biology, and complex data to generate actionable insights. In this customer-facing role, you will work with commercial teams to grow accounts and develop new opportunities. The role requires strong communication skills and a customer-first mindset.

Key Responsibilities:

• Oversee customer projects from inception to completion, ensuring timely delivery and quality of deliverables.
• Innovate on tools and pipelines to analyze multi-modal biological data.
• Stay abreast of emerging technologies in the domain to architect innovative solutions addressing client pain points.
• Lead and manage customer-facing projects and multidisciplinary teams of biological scientists, ML-engineers and data scientists.
• Build and maintain strong customer relationships by delivering within timelines and within budget
• Work with internal R&D teams to align goals with customer expectations.
• Identify opportunities to expand our business with existing customers and generate new commercial opportunities.
• Support the sales team in pre-sales activities, including product demonstrations, technical presentations, and proposal development.

Qualifications :

• Ph.D. with 2-3 years of industrial/academic experience in Bioinformatics, Computational Biology, or a related field.
• Proven expertise in processing and analyzing multi-omics data (e.g., genomics, transcriptomics, proteomics, metabolomics, etc.) with a strong emphasis on end-to-end analysis of single-cell transcriptomics data to derive actionable insights.
• Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
• Experience leading customer-facing projects with successful delivery records.

Good-to-have:

• Proficiency in coding with both R and Python
• Experience in performing integration analysis of NGS data across different modalities
• Experience working with cloud technologies and scalable computing platforms
• Familiarity with AI/ML applications in biomedical data analysis.
• Strong publishing record in peer-reviewed journals
• Ability to think strategically and translate customer needs into technical solutions.
• Strong analytical skills and attention to detail.
• Demonstrated experience in a customer-facing role, with the ability to build and maintain positive customer relationships.

We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Benefits of working with us:

• Competitive compensation including ESOPs
• Unlimited vacation and holiday time off
• Structured learning program for growth
• The opportunity to be part of a dynamic team in a growing company

Learn more about us:

• Elucidata at first glance is a good place to know about the industry and the opportunity
• Fast company named Elucidata one of the most innovative biotech companies of 2024.
• What our team says about the team at Elucidata
• We are a YourStory Tech 30 winner
• Our pitch at Tech 30 about how biological data is crucial for humanity
• Watch Polly’s 2021 User Group Meeting to learn more about the product
• Our $16mn series A funding announcement
• The founders - Dr. Abhishek Jha, Swetabh Pathak, and Dr. Richard Kibbey.

About the Role:

The person in this role will be responsible for delivering AI solutions to customers on top of Elucidata’s technology. This role involves a unique blend of applying AI, a deep understanding of biology, and complex data to generate actionable insights. In this customer-facing role, you will work with commercial teams to grow accounts and develop new opportunities. The role requires strong communication skills and a customer-first mindset.

Key Responsibilities:

• Oversee customer projects from inception to completion, ensuring timely delivery and quality of deliverables.
• Innovate on tools and pipelines to analyze multi-modal biological data.
• Stay abreast of emerging technologies in the domain to architect innovative solutions addressing client pain points.
• Lead and manage customer-facing projects and multidisciplinary teams of biological scientists, ML-engineers and data scientists.
• Build and maintain strong customer relationships by delivering within timelines and within budget
• Work with internal R&D teams to align goals with customer expectations.
• Identify opportunities to expand our business with existing customers and generate new commercial opportunities.
• Support the sales team in pre-sales activities, including product demonstrations, technical presentations, and proposal development.

Qualifications :

• Ph.D. with 2-3 years of industrial/academic experience in Bioinformatics, Computational Biology, or a related field.
• Proven expertise in processing and analyzing multi-omics data (e.g., genomics, transcriptomics, proteomics, metabolomics, etc.) with a strong emphasis on end-to-end analysis of single-cell transcriptomics data to derive actionable insights.
• Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
• Experience leading customer-facing projects with successful delivery records.

Good-to-have:

• Proficiency in coding with both R and Python
• Experience in performing integration analysis of NGS data across different modalities
• Experience working with cloud technologies and scalable computing platforms
• Familiarity with AI/ML applications in biomedical data analysis.
• Strong publishing record in peer-reviewed journals
• Ability to think strategically and translate customer needs into technical solutions.
• Strong analytical skills and attention to detail.
• Demonstrated experience in a customer-facing role, with the ability to build and maintain positive customer relationships.

We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Benefits of working with us:

• Competitive compensation including ESOPs
• Unlimited vacation and holiday time off
• Structured learning program for growth
• The opportunity to be part of a dynamic team in a growing company

Learn more about us:

• Elucidata at first glance is a good place to know about the industry and the opportunity
• Fast company named Elucidata one of the most innovative biotech companies of 2024.
• What our team says about the team at Elucidata
• We are a YourStory Tech 30 winner
• Our pitch at Tech 30 about how biological data is crucial for humanity
• Watch Polly’s 2021 User Group Meeting to learn more about the product
• Our $16mn series A funding announcement
• The founders - Dr. Abhishek Jha , Swetabh Pathak , and Dr. Richard Kibbey .

Experience Range : 3-5 Years

CTC: Upto 15 LPA

Role 1:: Data Scientist (Clinical)

We are seeking a highly skilled Data Scientist with strong expertise in clinical data standards and regulatory submission formats. The ideal candidate will have hands on experience working with OMOP and SDTM data models, capable of converting raw, heterogeneous clinical datasets into standardized formats required for regulatory submissions to agencies such as the FDA and PMDA.

Key Responsibilities

• Convert and standardize clinical datasets originating in OMOP format into SDTM format according to CDISC regulatory submission guidelines. Data harmonization and - must have skill set for shortlist
• Design the ETL (Extract, Transform, Load) process for clinical datasets. - must have skill set for shortlist
• Implement the ETL process using appropriate technical tools and languages .must have skill set for shortlist
• OHDSI recommendation on ETL implementation, experience with SQL builders, Python and R is advantageous. - must have skill set for shortlist
• Organize and clean complex clinical trial data including labs, adverse events, vital signs, and other trial-related datasets into consistent, review-ready tables.- must have skill set for shortlist
• Working exp on white rabbit -preferred
• Collaborate closely with clinical operations, statistical programming teams, and regulatory stakeholders to ensure data quality and compliance.
• Develop and maintain automated pipelines and workflows for efficient data transformation and validation.
• Provide expert input on clinical data standards and advise on best practices for data curation and submission readiness.
• Support regulatory submission processes by ensuring timely and accurate delivery of SDTM datasets.
• Act as a bridge between raw real-world data sources and regulatory requirements, translating technical challenges into actionable solutions
• Participate actively in all aspects of quality control to ensure the accuracy and integrity of data throughout the ETL and conversion process.
• Soft skills: fluent in English, problem-solving mentality, detail-oriented person, good communication and interpersonal skills, fast learner
• Additional (not must have): previous work/experiences on statistical programming, genomic data, NLP applications on healthcare datasets, data visualization

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Role 2:: Data scientist Bioinformatics

We are seeking a highly skilled Data Scientist with strong expertise in clinical data standards, genomic data and variant data for regulatory submission formats. The ideal candidate will have handson experience working with variant databases, OMOP and SDTM data models, capable of converting raw, heterogeneous clinical datasets into standardized formats required for regulatory submissions to agencies such as the FDA and PMDA.

Key Responsibilities:

• Curate, harmonize and maintain high-quality variant annotation datasets from public and proprietary sources (e.g., ClinVar, ClinGen, HGDM, CADD, refSeq, REVEL gnomAD, dbSNP, COSMIC). - - must have
• Knowledge of translational research, precision genomics and RWE studies. - must have
• Data linking of variant data to OMOP and SDTM formats. - must have
• ETL pipeline to map VCF annotation files to OMOP genomic tables. - must have
• Exp of working on OMOP CDM V6+ - preferred.
• Develop and implement pipelines for harmonizing variant annotations across different formats, nomenclatures, and reference genomes.
• Standardize variant representations using HGVS, VCF, and other relevant formats.
• Collaborate with technical operations team to deliver curated data into customer systems
• Perform quality control and validation of variant annotations to ensure data integrity.
• Stay current with developments in variant annotation standards and tools and understand differences between annotation database versions
• Document curation processes and contribute to the documentation

Required Qualifications:

M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field.

• Strong experience with variant annotation tools and databases.
• Proficiency in ETL/workflow tools (Airflow, Nextflow) and scripting languages such as Python or R - must have
• Experience with version control system (Git)
• Familiarity with genomic data formats (VCF, BED, GFF) and reference genome builds (GRCh37/38).
• Experience with data harmonization and integration across heterogeneous sources.
• Knowledge of ontologies and controlled vocabularies (e.g., ClinVar terms, Sequence Ontology).
• Excellent problem-solving skills and attention to detail.
• In addition. the following would be an advantage:
• Experience with SQL (Postgres)
• Familiarity with kubernetes architecture
• Familiarity with cloud (AWS)