Duties: Train Speech Recognition (Acoustic, Language, Punctuation), Speech-to-text translation (AST), and Speech-to-speech (S2S) translation models; Develop and maintain speech processing blocks and tools (alignment, segmentation, normalization etc.); Improve processes for speech data processing, augmentation, filtering & Training sets preparation; Measure and benchmark model performance; Gather knowhow on speech datasets for training & evaluation
Requirements: Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 5+ years of experience; Excellent programming skills in Python, Strong fundamentals in Programming, optimizations and Software design; Hands-on experience on Speech Technologies like Automatic Speech Recognition, Speech Command detection, Text to Speech, Speaker Recognition and Identification, speaker diarization, Noise robustness Techniques, Voice activity detection, End of utterance detection etc; Strong knowledge of RNN-T, CTC, and transformer decoders

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale
Requirements: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL

Duties: Complete regular and ad-hoc experience study in cooperation with Data Administration and Pricing team. Ensures experience study works are appropriately documented with well control, and assists with identifying changing requirements and adapting to maintain compliance; Provide valuable suggestions for monitoring experience, setting actuarial assumptions and managing in-force business to serve needs of internal and external clients; Supports IFRS 17 implementation; Support to develop, maintain, and/or review actuarial models, methods and assumptions; Support US/China Statutory, Tax, and GAAP valuation work for assigned business; Support projections for financial planning and analysis and assists with communication of financial analytics and results in terms of major drivers of variance; Supports quarterly and annual filings
Requirements: ASA of SOA or equivalent; 4 to 7 years of actuarial work experience

Duties: Partner with AI researchers and bioinformaticians to develop novel computational methods to infer causality in disease progression; Work closely with biologists in Immunology and Oncology to solve biological questions and validate computational findings; Contribute to drug projects by providing support on target identification and validation, biomarker discovery, patient stratification, clinical trial design, etc; Analyze multi-omics and phenotyping data from research studies, clinical trials and real world databases to identify disease-driving cell types, pathways, and genes
Requirements: Ph.D. degree in bioinformatics, biology, computational biology or a relevant field. Experience in the pharmaceutical industry is preferred; 5+ years of industry experience, or 3+ years in industry plus 2+ years academic post-doc experience; Passion for in-depth understanding of biological questions and finding plausible answers with data analytics; Solid biology knowledge in Immunology or Oncology, being able to communicate comfortably with biologists

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 6+ years industry experience and an advanced degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Experienced in team management and people management; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL

Duties: The role will be required to teach accounting related modules (such as UK Taxation and/or Auditing) in the BSc Accounting and Finance programme of University of Surrey delivered at its SII campus in Dalian, China
Requirements: While a PhD in a relevant area will be preferred, a relevant masters degree with substantial industry experience will also be considered; Ability to deliver lectures and explain complicated concepts in English

Duties: Be the primary resource for analysis needs related to PGDx assays; Perform data analysis in support of assay validation; Once the assay has moved to production, perform routine QC and any required downstream analyses following established work instructions; Communicate with clients to address any project-specific concerns or needs; Be able to gather any required deliverables from the analysis system as needed beyond the core reporting; Support the transfer of deliverables to clients as needed
Requirements: MS in bioinformatics, biology, or related field; Two+ years of practical bioinformatics experience, including knowledge of common NGS file formats, data types, and analysis tools; Demonstrated understanding of next-generation sequencing (NGS) technologies; Strong background in statistical analysis methodologies commonly used in validation activities

Duties: Program complex non efficacy datasets; Program complex non efficacy outputs/figures; Develop and debug more complex macros; Create, QC and update simple, non-efficacy dataset specifications for single studies; Review simple study design SAP with supervision; Review listings and simple summary shells without supervision and provide feedback; Awareness of CDISC SDTM and ADaM implementation guidelines
Requirements: Educated to degree or diploma level (or equivalent) within maths, computer science or a related discipline; SAS Programming Experience within the pharmaceutical industry; Good awareness of clinical trial issues, design, and implementation; Familiarity with GCP and regulatory requirements; Experience of programming to SDTM and ADaM standards

Duties: Program complex non efficacy datasets; Program complex non efficacy outputs/figures; Develop and debug more complex macros; Create, QC and update simple, non-efficacy dataset specifications for single studies; Review simple study design SAP with supervision; Review listings and simple summary shells without supervision and provide feedback; Awareness of CDISC SDTM and ADaM implementation guidelines
Requirements: Educated to degree or diploma level (or equivalent) within maths, computer science or a related discipline; Keen to be considered for the role? APPLY NOW to submit your application. Please note, we are unable to provide sponsorship for this role; Fluent in Japanese

Duties: To assist the Head of Statistics in providing timely communication to the function; Leadership of members of the statistical function within specific geographical regions; Line manage senior members of staff within the statistics function, allowing individuals the opportunity to reach their full potential; Training and mentoring line managers and less experienced members of staff within the Statistics function; Support resolution of any issues escalated by or involving statistics team members; Support the operational success of studies through careful planning and work assignments; Helping the Head of Statistics identify areas of skill development for the statistics function as a whole; Work closely with cross-functional Operational leadership team
Requirements: Educated to PhD or MSc in Biostatistics or a related discipline; Experience within the pharmaceutical industry to have a good awareness of clinical trial issues, design, and implementation; Familiarity with GCP and regulatory requirements; Experience of writing SAPs, protocols & regulatory submissions

Duties: Program and validate datasets and SDTMs, including complex efficacy, labs, etc; Program complex non efficacy outputs/figures; Develop and debug complex macros; Create, QC and update complex dataset specifications (including efficacy) for single/multiple studies; Review simple study design SAP without supervision; Review all shells without supervision and provide feedback
Requirements: Educated to BSc or above within Computer Science, Mathematics or a Science related discipline; SAS Programming Experience within the pharmaceutical industry; SAS Programming Experience within the pharmaceutical industry; Good awareness of clinical trial issues, design, and implementation