Shan Siddiqui
About Shan Siddiqui
Shan Siddiqui is a Process Engineer currently working at Adaptimmune in Philadelphia, Pennsylvania. With a background in chemical engineering and analytics, he has held various roles in the pharmaceutical and retail sectors, demonstrating a commitment to continuous learning and a focus on bioinformatics and data science.
Current Role at Adaptimmune
Shan Siddiqui has been employed as a Process Engineer at Adaptimmune since 2021. In this role, he is involved in various engineering processes that support the company's mission in the pharmaceutical sector. His work contributes to the development of innovative therapies, particularly in the field of immunotherapy.
Previous Experience in Pharmaceutical Manufacturing
Prior to his current position, Shan Siddiqui worked at Altasciences, formerly known as Alliance Contract Pharma, as a Pharmaceutical Manufacturing Associate in 2020. His tenure lasted four months and took place in Greater Philadelphia. He also served as an Associate Bioprocess Technician at Tmunity Therapeutics Incorporated for two months in 2021, further enhancing his experience in the pharmaceutical industry.
Educational Background in Engineering and Analytics
Shan Siddiqui holds a Master of Science in Analytics from the Georgia Institute of Technology, where he studied from 2020 to 2023. He also earned a Bachelor of Science in Chemical Engineering from the University of Delaware, completing his degree from 2015 to 2019. His education has provided him with a strong foundation in both engineering principles and data analytics.
Experience in Brand Ambassadorship and Management
Shan Siddiqui has diverse experience beyond engineering. He worked as a College Campus Brand Ambassador for Thursday Boot Company from 2015 to 2017, where he promoted the brand on college campuses in Newark, Delaware. Additionally, he served as an Operations Manager at 7-Eleven from 2015 to 2018, managing operations in Wilmington, Delaware.
Focus on Bioinformatics and Data Science
Shan Siddiqui is actively exploring bioinformatics and its applications within the pharmaceutical industry. He aspires to leverage his analytic skills to address challenges in genomic sciences and drug discovery. His commitment to lifelong learning is evident in his pursuit of knowledge in data science topics, including machine learning, statistical analysis, and data visualization.