Job Description
Cognizant
Data Engineer (Azure)
Cognizant • via Instahyre
Full–time
No Degree Mentioned
Apply on Instahyre
Job description
Requirements:
• Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, on Azure.
• Experience in developing ETL, OLAP-based and Analytical Applications.
• Experience in ingesting batch and streaming data from various data sources.
• Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc. ).
• Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
• Azure Data Bricks (ADB), Azure Synapse Analytics, Azure Active Directory, Azure Storage, Azure Data Lake Services (ADLS), Azure key vault, Azure SQL DB, Azure HD Insight.
• Experience with DevOps and CD/CD tools.
• Familiarity with Rest APIs.
• Clear and precise communication skills.
• Experience with CI/CD pipelines, branching strategies, and GIT for code management.
• Comfortable working in Agile projects.
Report this listing
Cognizant
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Scispot
Computational Biologist (AI/ML + Bio background)
Scispot • India • via LinkedIn
CA$40K–CA$60K a year
Internship
Apply on LinkedIn
Job description
About Scispot
Scispot is a trailblazing company developing the world's best and first data infrastructure for lifescience companies. We work at the intersection of biotech, AI, and ML to enable innovation and advancement in the life sciences industry.
Job Description
• We are seeking a Computational Biologist with extensive experience in AI and Machine Learning, and a background in biotech. The successful candidate will work with our data scientists and bioinformatics teams to design and implement ETL pipelines and computational frameworks, integrate and analyze genomic and transcriptomic datasets, and assist in the interpretation of gene expression data.
Key Responsibilities
• Run biotech R&D pipelines as a data scientist or data engineer
• Build ETL / ELT pipelines
• Work with open-source Apache products such as Airflow, Nifi
• Establish computational frameworks for integrating, accessing, and analyzing genomic and transcriptomic datasets
• Develop analysis workflows for high-throughput DNA, and RNA sequencing data
• Integrate new pipelines with other components of Scispot’s tech stack
• Assist in the analysis and interpretation of gene expression data
• Work with scientists to leverage Bioinformatics datasets and assist in efforts of target assessment
• Collaborate with wet-lab scientists, data scientists, and bioinformaticians to design experiments, analyze data, and interpret the results
• Recommend cleansing and transformation rules required to make the datasets ready for AI/ML
• Experience in data governance modeling
• Experience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)
Required Qualifications And Experience
• Currently pursuing PhD or MSc in Bioinformatics, Computational Biology, or a related field
• Demonstrated expertise in R, Python, and building complex code in a collaborative environment
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working with high-throughput sequencing data (RNAseq, scRNAseq, WES)
• Proficiency in biological database management and the use of bioinformatics tools and software
• Extensive knowledge in applying machine learning and statistical modeling to biological datasets
• Proficiency in processing and analyzing high dimensional biological data
• Familiarity with public biological data sources and repositories
• Experience with biological data standards, ontologies, and metadata
• Familiarity with cloud-based data storage and analysis solutions is preferred
• Strong analytical skills related to working with large diverse datasets
• A demonstrated ability to find creative and functional solutions to complicated problems
• Excellent documentation skills with impeccable attention to detail
• Exceptional communication skills and the ability to express complex ideas in understandable ways
• Strong critical thinking skills and the ability to handle ambiguity in data analysis
• Proven track record of publishing relevant work in high-impact journals is preferred
• If you are passionate about contributing to groundbreaking work in the life sciences and enjoy working in a fast-paced, innovative environment, we would love to hear from you.
Data Engineer (Azure)
Cognizant • via Instahyre
Full–time
No Degree Mentioned
Apply on Instahyre
Job description
Requirements:
• Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, on Azure.
• Experience in developing ETL, OLAP-based and Analytical Applications.
• Experience in ingesting batch and streaming data from various data sources.
• Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc. ).
• Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
• Azure Data Bricks (ADB), Azure Synapse Analytics, Azure Active Directory, Azure Storage, Azure Data Lake Services (ADLS), Azure key vault, Azure SQL DB, Azure HD Insight.
• Experience with DevOps and CD/CD tools.
• Familiarity with Rest APIs.
• Clear and precise communication skills.
• Experience with CI/CD pipelines, branching strategies, and GIT for code management.
• Comfortable working in Agile projects.
Report this listing
Cognizant
Glassdoor
3.7/5
115K reviews
AmbitionBox
3.8/5
46.+K reviews
Indeed
3.8/5
16.7K reviews
cognizant.com
More jobs at Cognizant
See web results for Cognizant
Scispot
Computational Biologist (AI/ML + Bio background)
Scispot • India • via LinkedIn
CA$40K–CA$60K a year
Internship
Apply on LinkedIn
Job description
About Scispot
Scispot is a trailblazing company developing the world's best and first data infrastructure for lifescience companies. We work at the intersection of biotech, AI, and ML to enable innovation and advancement in the life sciences industry.
Job Description
• We are seeking a Computational Biologist with extensive experience in AI and Machine Learning, and a background in biotech. The successful candidate will work with our data scientists and bioinformatics teams to design and implement ETL pipelines and computational frameworks, integrate and analyze genomic and transcriptomic datasets, and assist in the interpretation of gene expression data.
Key Responsibilities
• Run biotech R&D pipelines as a data scientist or data engineer
• Build ETL / ELT pipelines
• Work with open-source Apache products such as Airflow, Nifi
• Establish computational frameworks for integrating, accessing, and analyzing genomic and transcriptomic datasets
• Develop analysis workflows for high-throughput DNA, and RNA sequencing data
• Integrate new pipelines with other components of Scispot’s tech stack
• Assist in the analysis and interpretation of gene expression data
• Work with scientists to leverage Bioinformatics datasets and assist in efforts of target assessment
• Collaborate with wet-lab scientists, data scientists, and bioinformaticians to design experiments, analyze data, and interpret the results
• Recommend cleansing and transformation rules required to make the datasets ready for AI/ML
• Experience in data governance modeling
• Experience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)
Required Qualifications And Experience
• Currently pursuing PhD or MSc in Bioinformatics, Computational Biology, or a related field
• Demonstrated expertise in R, Python, and building complex code in a collaborative environment
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working with high-throughput sequencing data (RNAseq, scRNAseq, WES)
• Proficiency in biological database management and the use of bioinformatics tools and software
• Extensive knowledge in applying machine learning and statistical modeling to biological datasets
• Proficiency in processing and analyzing high dimensional biological data
• Familiarity with public biological data sources and repositories
• Experience with biological data standards, ontologies, and metadata
• Familiarity with cloud-based data storage and analysis solutions is preferred
• Strong analytical skills related to working with large diverse datasets
• A demonstrated ability to find creative and functional solutions to complicated problems
• Excellent documentation skills with impeccable attention to detail
• Exceptional communication skills and the ability to express complex ideas in understandable ways
• Strong critical thinking skills and the ability to handle ambiguity in data analysis
• Proven track record of publishing relevant work in high-impact journals is preferred
• If you are passionate about contributing to groundbreaking work in the life sciences and enjoy working in a fast-paced, innovative environment, we would love to hear from you.
💡 Quick Summary
Seeking a career-building opportunity? The Computational Biologist |AI|ML | Bio background position is now open for candidates interested in the Work from home Jobs sector. This role in Jaipur offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.