Kukatpally Hyderabad Telangana Pharmacovigilance Jobs – 47 Open Jobs Today

Senior Data Scientist - Safety Analytics & Signal Detection
Amgen —Hyderabad, Telangana
- Doctoral degree
- Master's degree
- SQL
7d
Manager, Third Party Strategy and Oversight
Bristol-Myers Squibb —Hyderabad, Telangana
- Email
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Global Safety Associate Medical Director
Amgen —Hyderabad, Telangana
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Sanofi —Hyderabad, Telangana
- Full-time
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Manager - Safety & PV (ICSR)
Syneos - Clinical and Corporate - Prod —Hyderabad, Telangana
- Full-time
- Microsoft Powerpoint
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Manager - Safety & PV (ICSR)
サイネオス・ヘルス —Hyderabad, Telangana
- Microsoft Powerpoint
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Senior GRA Labeling Specialist
Sanofi —Hyderabad, Telangana
- English
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10d
Lead - Medical Monitoring & Safety
Dr Reddy's Laboratories Limited —Hyderabad, Telangana
- Full-time
- Medicine
- Doctoral degree
- Patient monitoring
- Health insurance
Quick apply
4d
Packaged/SaaS Application Engineer
Accenture —Hyderabad, Telangana
- Full-time
- Master's degree
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6h
Safety & PV Specialist II (Night Shift)
サイネオス・ヘルス —Hyderabad, Telangana
- Night shift
- Medicine
- B.Sc
- Master's degree
HR Executive
FORWARD LIFE PRIVATE LIMITED —Ameerpet, Hyderabad, Telangana
- ₹18,000 - ₹22,000 a month
- Full-time
- Microsoft Word
- Microsoft Excel
- Master's degree
- Health insurance
Quick apply
19h
Team Lead GRA Labelling Strategist
Sanofi —Hyderabad, Telangana
- Management
- English
- Analysis skills
- Paid sick time
11d
Team Lead GRA Labeling Strategist Transversal
Sanofi —Hyderabad, Telangana
- Management
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11d
Manager, PV Analytics Center of Excellence
Bristol-Myers Squibb —Hyderabad, Telangana
- Email
- Hybrid work
- Microsoft Powerpoint
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Senior Manager Triage
Regeneron —Hyderabad, Telangana
- Medicine
- Bachelor's degree
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- Health insurance
- Paid time off
AI Engineer, Agent/Platform Tracks
Parexel —Hyderabad, Telangana
- Computer Science
- Master's degree
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GRA Labelling Group Lead
Sanofi —Hyderabad, Telangana
- Management
- English
- Analysis skills
- Paid sick time
11d
Chief Executive Secretary
FORWARD LIFE PVT.LTD —Ameerpet, Hyderabad, Telangana
- ₹18,000 - ₹25,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Health insurance
Quick apply
Senior Salesforce Engineer / Technical Lead- Hyderabad (Hybrid/ Shift 2)
Syneos - Clinical and Corporate - Prod —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
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- Salesforce
Safety Physician
Syneos - Clinical and Corporate - Prod —Hyderabad, Telangana
- Full-time
3d

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Senior Data Scientist - Safety Analytics & Signal Detection

Amgen -
Hyderabad, Telangana

Apply Now

Job details

7 days ago

Qualifications

Statistics
Data mining
Statistics
Doctoral degree
EHR systems
SAS
R
Master's degree
SQL
Statistical analysis
Bachelor's degree
Machine learning
Natural language processing
Data science
AI
Communication skills
Python
Data Science
Analytics

Full job description

India - Hyderabad

JOB ID: R-253142 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Aug. 31, 2026 CATEGORY: Safety

Group Purpose

Integrated Signal Management group is responsible for the direction and strategy for safety signal detection and management, safety governance, and quality complaints trending and analytics. It drives policies, research, innovation, and implementation of best practices in safety data mining, statistical signal detection, signal management and tracking, product complaint trending and analytics, risk management, benefit-risk assessment, and safety communications.

Job Summary

The Senior Data Scientist applies advanced expertise in statistics, data science, and analytical methodologies to support pharmacovigilance, safety signal detection, post-marketing surveillance, and safety decision-making within Global Patient Safety. The role works closely with Therapeutic Area Safety, Integrated Signal Management, and cross-functional partners to design and execute complex analyses using internal safety data, spontaneous reporting systems, real-world data, and other safety-relevant data sources.

This role applies and evaluates a range of analytical approaches including frequentist and Bayesian signal detection methods, temporal and trending analyses, observational data methods, and emerging machine learning and artificial intelligence techniques. The role is responsible for translating complex safety questions into appropriate analytical designs, developing reproducible and scalable analytical workflows, evaluating methodological assumptions and limitations, and communicating scientifically defensible findings to technical and non-technical stakeholders.

Through the application of advanced analytics, automation, visualization, and innovative data science methods, the Senior Data Scientist helps strengthen Amgen's safety surveillance capabilities, improve analytical efficiency, and enable timely, data-driven decisions that support patient safety.

Key Activities

1. Provides data science and statistical support for safety surveillance, signal detection, and signal assessment activities.

2. Partners with TA Safety and Integrated Signal Management to develop and execute analytical approaches for safety questions and post-marketing surveillance.

3. Applies frequentist, Bayesian, temporal, and other fit-for-purpose statistical methods used in pharmacovigilance.

4. Analyzes internal safety data, spontaneous reporting data, real-world data, and other relevant sources to generate actionable insights.

5. Develops reproducible analytical workflows using programming, automation, and visualization technologies.

6. Evaluates and applies advanced analytics, machine learning, NLP, and AI-enabled approaches to support safety surveillance and analytical efficiency.

7. Communicates analytical methods, findings, limitations, and recommendations clearly to cross-functional stakeholders.

Knowledge and Skills

Strong background in statistics and complex statistical analysis.
Proficiency in one or more analytical programming languages such as Python, R, SQL, or SAS
Working knowledge of machine learning and emerging AI methods
Strong communication skills.
Ability to lead/influence cross-functional teams.
Ability to manage multiple projects and priorities simultaneously.
Ability to operate effectively in a cross-functional, matrixed environment.

Preferred

Knowledge of pharmacovigilance principles, safety signal detection, signal management, and post-marketing surveillance.
Familiarity with pharmacovigilance and safety data sources, including spontaneous reporting systems, safety databases, and real-world data sources.
Knowledge of frequentist and Bayesian statistical approaches used in safety surveillance and signal detection

Education (Basic)

Doctorate degree and 2 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience; OR
Master’s degree and 6 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience; OR
Bachelor’s degree and 8 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience; OR
Associate’s degree and 10 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience;

Education & Experience (Preferred)

8-13 years of applied data science, statistics, analytics, or related quantitative experience
Experience in pharmaceutical, biotechnology, pharmacovigilance, clinical safety, epidemiology, or another regulated healthcare environment
Experience analyzing adverse event, spontaneous reporting, real-world, claims, EHR, or other healthcare data
Experience with pharmacovigilance signal detection methodologies, including frequentist and/or Bayesian approaches
Experience using Python OR SAS OR R and SQL or comparable analytical technologies hands with coding
Experience with machine learning, NLP, or AI-enabled analytical methods is desirable
Degree in Statistics, Biostatistics, Mathematics, Data Science, Epidemiology, Computer Science, Engineering, or another quantitative/scientific field

Apply Now

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Group Purpose

Job Summary

Through the application of advanced analytics, automation, visualization, and innovative data science methods, the Senior Data Scientist helps strengthen Amgen's safety surveillance capabilities, improve analytical efficiency, and enable timely, data-driven decisions that support patient safety.

Key Activities

1. Provides data science and statistical support for safety surveillance, signal detection, and signal assessment activities.

2. Partners with TA Safety and Integrated Signal Management to develop and execute analytical approaches for safety questions and post-marketing surveillance.

3. Applies frequentist, Bayesian, temporal, and other fit-for-purpose statistical methods used in pharmacovigilance.

4. Analyzes internal safety data, spontaneous reporting data, real-world data, and other relevant sources to generate actionable insights.

5. Develops reproducible analytical workflows using programming, automation, and visualization technologies.

6. Evaluates and applies advanced analytics, machine learning, NLP, and AI-enabled approaches to support safety surveillance and analytical efficiency.

7. Communicates analytical methods, findings, limitations, and recommendations clearly to cross-functional stakeholders.

Knowledge and Skills

Strong background in statistics and complex statistical analysis.

Proficiency in one or more analytical programming languages such as Python, R, SQL, or SAS

Working knowledge of machine learning and emerging AI methods

Strong communication skills.

Ability to lead/influence cross-functional teams.

Ability to manage multiple projects and priorities simultaneously.

Ability to operate effectively in a cross-functional, matrixed environment.

Preferred

Knowledge of pharmacovigilance principles, safety signal detection, signal management, and post-marketing surveillance.

Familiarity with pharmacovigilance and safety data sources, including spontaneous reporting systems, safety databases, and real-world data sources.

Knowledge of frequentist and Bayesian statistical approaches used in safety surveillance and signal detection

Education (Basic)

Doctorate degree and 2 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience; OR

Master’s degree and 6 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience; OR

Bachelor’s degree and 8 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience; OR

Associate’s degree and 10 years of Data Science / Statistics / Biostatistics / Epidemiology / Mathematics / or related quantitative experience;

Education & Experience (Preferred)

8-13 years of applied data science, statistics, analytics, or related quantitative experience

Experience in pharmaceutical, biotechnology, pharmacovigilance, clinical safety, epidemiology, or another regulated healthcare environment

Experience analyzing adverse event, spontaneous reporting, real-world, claims, EHR, or other healthcare data

Experience with pharmacovigilance signal detection methodologies, including frequentist and/or Bayesian approaches

Experience using Python OR SAS OR R and SQL or comparable analytical technologies hands with coding

Experience with machine learning, NLP, or AI-enabled analytical methods is desirable

Degree in Statistics, Biostatistics, Mathematics, Data Science, Epidemiology, Computer Science, Engineering, or another quantitative/scientific field