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clinical data scientist

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Syngene International Limited

<div>
 Date: 28 Nov 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Dedicated Centre
 
 
 
 Research Investigator: Translational Bioinformatics &amp; Disease Biology
 
 
 
 Syngene International Ltd. / Biocon Bristol Myers Squibb Research Centre, Bangalore, India
 
 
 
 Designation
 
 : Senior Scientist / Senior Research Investigator
 
 
 
 Department
 
 : Translational Medicine &ndash; Translational Development (Informatics)
 
 
 
 Location
 
 : Bangalore, India
 
 
 
 Job Purpose
 
 
 
 We are seeking a motivated, innovative PhD-level (or equivalent) Senior Scientist to join our Translational Medicine team at the Bristol Myers Squibb Biocon Research Center at Biocon Park, Bangalore. This pivotal role integrates advanced bioinformatics and computational biology with inputs from laboratory-based translational research to drive insights across multiple therapeutic areas including oncology, immunology, hematology and neuroscience. The successful candidate will coordinate cross-functional teams across scientific programmes or clinical datasets and apply multi-omics and AI/ML methodologies to accelerate the development of new therapies and inform strategic clinical decisions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, execute, and oversee bioinformatics strategies for preclinical and clinical translational studies in oncology, immunology, hematology, neuroscience and related disease domains.
 </li>
 <li>
 Integrate and analyze high-dimensional multi-omics datasets (WES/WGS, bulk and single-cell RNA-seq, ATAC-seq, spatial transcriptomics, proteomics, flow cytometry) to discover biomarkers, understand disease mechanisms, and support patient selection and drug development strategies.
 </li>
 <li>
 Develop and implement machine learning and artificial intelligence approaches for predictive modelling, feature selection, and data integration across modalities.
 </li>
 <li>
 Collaborate with biomarker scientists, clinical teams, and research centers to shape development strategies, clinical trial hypotheses, and target prioritization based on patient-level and real-world datasets.
 </li>
 <li>
 Establish and communicate best practices for NGS QC workflows; ensure reproducibility and scalability of analytical pipelines using tools such as samtools, picard, and R/Bioconductor.
 </li>
 <li>
 Support experimental design and data generation to advance translational strategies, including mechanism-of-action studies, combination rationale, resistance mechanisms, and differentiation from standard of care.
 </li>
 <li>
 Contribute to preclinical collaborations, reporting findings in written study reports and presentations for internal stakeholders, regulatory submissions, and external scientific audiences.
 </li>
 <li>
 Forecast and troubleshoot technical or experimental challenges, devising strategic solutions to ensure the success of current and future projects.
 </li>
 <li>
 Maintain a strong publication record and proactively apply insights from published literature to solve scientific problems and interpret complex study data.
 
 
 </li>
 </ul>
 
 Educational &amp; Experience Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in Bioinformatics, Computational Biology, Genetics, Engineering, with exposure to Cancer Biology, Immunology, or a related field; M.Sc./M. Tech./M. Engg. candidates with 3+ years&rsquo; relevant experience may be considered.
 </li>
 <li>
 Minimally 2+ years&rsquo; relevant postdoctoral or industry experience in informatics, ideally within oncology, immunology, hematology and/or neuroscience drug development is required for senior positions.
 
 
 </li>
 </ul>
 
 Technical &amp; Professional Skills
 
 
 
 <ul>
 <li>
 Extensive hands-on experience with RNASeq, DNASeq workflows, and common NGS tools (samtools, picard, etc.).
 </li>
 <li>
 Demonstrated expertise in high-throughput molecular data analysis, single-cell technologies, proteomics, and flow cytometry.
 </li>
 <li>
 Advanced programming skills in R and/or Python (or ability to verify code from agentic tools), including proficiency with ggplot2 and other graphing solutions; experience with Linux-based HPC environments, AWS cloud computing, and reproducible research practices.
 </li>
 <li>
 Strong background in machine learning and artificial intelligence, especially for -omics data integration, predictive modelling, and deep learning applications.
 </li>
 <li>
 Solid foundation in statistics, experimental design, and data interpretation.
 </li>
 <li>
 Laboratory proficiency/core awareness: cell culture, primary cell isolation, cell transfection, gene expression or mutation analysis (RNA or DNA sequencing), epigenomic assays (ATAC-seq, ChIP-seq), protein assays/immunoassays, and cell phenotyping.
 </li>
 <li>
 Excellent communication, managerial, and relationship-building skills; ability to interact effectively across functional, organizational, and geographic boundaries.
 </li>
 <li>
 Strong problem-solving ability, scientific rigor, creativity, and a track record of successful collaboration and independent leadership in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Behavioural Skills
 
 
 
 <ul>
 <li>
 Strong commitment, enthusiasm, and motivation towards work.
 </li>
 <li>
 Excellent speaking, listening, and writing skills; attention to detail; proactive and self-driven.
 
 
 </li>
 </ul>
 
 About Syngene
 
 
 
 Syngene International Ltd. is a globally renowned, innovation-driven organization offering integrated scientific solutions to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical sectors. With a diverse team of over 4,000 scientists, Syngene partners with leading global organizations, including Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA, and Herbalife, to address complex scientific challenges, enhance R&amp;D productivity, accelerate time-to-market, and reduce the cost of innovation.
 
 
 Equal Opportunity Statement
 
 
 Syngene is an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. Reasonable accommodations will be provided for qualified individuals with disabilities.
 
 
 Application Instructions
 
 
 Interested candidates are invited to submit their CV and cover letter outlining relevant experience and motivation for the role to the recruitment portal or HR contact listed on the Syngene careers website.
</div>

Research Investigator

CareerXperts Consulting

<div>
 
 
 About the Role
 
 
 
 
 
 
 Identify, engage, and hire top-tier AI talent with CareerXperts Consulting. You&rsquo;ll work on high-impact roles across
 
 AI, ML, Data Science, LLMs, MLOps, and frontier-tech
 
 , partnering closely with fast-growing startups and global engineering teams.
 
 
 If you&rsquo;re a tech-savvy recruiter with 2 to 5 years of experience and a strong curiosity for AI, emerging tools, and deep-tech problem-solving, this role is built for you.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 <ul>
 <li>
 Source, evaluate, and close exceptional talent across AI, ML, LLMs, Data, MLOps, and Research roles.
 </li>
 <li>
 Own the full hiring lifecycle from outreach and screening to candidate management and closing.
 </li>
 <li>
 Partner directly with founders, CTOs, and engineering leaders to decode complex mandates.
 </li>
 <li>
 Build deep and meaningful candidate relationships while maintaining a consistent experience.
 </li>
 <li>
 Draft precise job descriptions that reflect actual technical expectations.
 </li>
 <li>
 Use AI-powered sourcing and screening tools to boost efficiency and quality.
 </li>
 <li>
 Track funnel metrics and drive improvements across sourcing, qualification, and conversion.
 </li>
 <li>
 Stay updated on trends in GenAI, model engineering, data infra, and scaling systems.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 
 <ul>
 <li>
 2 to 5 years of experience in tech recruitment (experience hiring AI talent is a strong plus).
 </li>
 <li>
 Strong understanding of roles like ML Engineer, Applied Scientist, LLM Engineer, Research Engineer, Data Scientist, MLOps Engineer, and more.
 </li>
 <li>
 Ability to converse intelligently with technical candidates about models, data pipelines, and engineering frameworks.
 </li>
 <li>
 Curiosity-driven mindset with an interest in AI tools, research developments, and emerging technologies.
 </li>
 <li>
 Strong communication skills and the ability to evaluate both skill and intent.
 </li>
 <li>
 Comfortable working in a high-ownership, fast-paced environment.
 </li>
 <li>
 Based in Bengaluru or currently residing in Bengaluru (preferred).
 </li>
 </ul>
 
 
 
 
 
 Why Join CareerXperts
 
 
 
 
 
 <ul>
 <li>
 Work closely with AI-first startups, deep-tech ventures, and global product teams.
 </li>
 <li>
 Build expertise in niche technical hiring across advanced AI roles.
 </li>
 <li>
 High-impact work where every successful hire moves a company forward.
 </li>
 <li>
 Learn directly from senior recruiters and founders who have closed some of the toughest mandates in the ecosystem.
 </li>
 <li>
 Growth-oriented, performance-driven culture.
 </li>
 </ul>
 
 
</div>

AI & Deep-Tech Recruiter - Scaling Startup Teams

Visa

<div>
 
 
 Job Description
 
 
 
 
 What a Data Scientist , Visa Consulting &amp; Analytics does at Visa:
 
 
 
 
 
 
 The Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
 
 
 
 
 
 The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
 
 <ul>
 <li>
 Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques.
 </li>
 <li>
 Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.
 </li>
 <li>
 Ensuring quality control and maintaining up-to-date documentation for all data science projects.
 </li>
 <li>
 Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques.
 </li>
 <li>
 Translate analytical findings into clear, actionable business insights.
 </li>
 <li>
 Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.
 </li>
 <li>
 Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
 
 
 &bull; 5+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.
 
 
 &bull; Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Linear Regression, Decision Trees, and XGBoost.
 
 
 &bull; Experience in card payments and/or retail banking domain.
 
 
 &bull; Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).
 
 
 &bull; Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
 
 
 &bull; Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
 
 
 &bull; Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
 
 
 &bull; Self-motivated, results oriented individual with ability to handle multiple projects concurrently.
 
</div>

Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science Engineer

Data Scientist, Product Analytics

Amazon

<div>
 
 Description
 
 
 
 Amazon&rsquo;s Last Mile Team is looking for a passionate individual with strong machine learning and GenAI engineering skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.
 
 
 Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)&rsquo;s success and the sustainable growth of Amazon.
 
 
 Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.
 
 
 Key job responsibilities
 
 
 Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning or Large Language Models. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of data scientist experience
 </li>
 <li>
 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 </li>
 <li>
 Experience applying theoretical models in an applied environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Python, Perl, or another scripting language
 </li>
 <li>
 Experience in a ML or data scientist role with a large technology company
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3108909
</div>

Date Scientist II, Last Mile

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