About Laekna Therapeutics

Founded in December 2016, Laekna Therapeutics is an emerging innovative pharma company based in China’s “Zhangjiang Pharma Valley” and New Jersey in the US, focusing on developing new ground-breaking innovative therapies to treat cancer and liver diseases.

Laekna Therapeutics is adopting a two-pronged strategy in new drug development. On the one hand, it continues to enrich its portfolio by introducing global new drugs with the clinical Proof of Concept. The company has obtained the global exclusive rights of four new drug candidates from Novartis. On the other hand, the company’s self-developed innovative drugs will soon enter clinical development stages.

Laekna has set up a team of top global pharmaceutical talent and acquired key technologies. Its leadership team members have over 20 years of experience in new drug development in China and the US, with an exceptional track record in R&D, new drug approvals and commercialization. Laekna is committed to a science-based, innovation-driven approach to create a leading clinical research and development pipeline, and develop first-in-class and best-in-class innovative drugs. It has been developing an international leading platform for new drug research and development to benefit patients.

The detail Laekna Therapeutics information can be found from the website: http://www.leaknatp.com.

Job Summary:

The Statistical Programmer has responsibility for statistical programming support for the drug development across organizations. He/she provides end to end statistical programming support in planning, specifying, designing, developing and implementing statistical software solutions for the reporting and analysis of clinical trials in accordance with applicable processes.

Responsibilities

1.Prepares summarized information for clinical study team members

2.Lead statistical programming activities at study level or part of clinical project

3.Assess and clarify requirements, contribute to developing programming specifications, providing statistical programming solutions and ensure their efficient implementations

4.Determines and develops approaches to meet the project requirements

5.Responsible for accuracy and reliability of results. Builds and monitors quality in every aspect of job activity.

6.Has a good understanding of the types of risks associated with a study and the impact on the quality of deliverables. Implements the risk-based quality control accordingly

7.Provides technical solutions to a wide range of problems. Independently determines and develops approach to solutions

8.Builds and maintains effective working relationships with cross-functional teams. Builds mutual purpose with team members

9.Considers strategies that will enable a smooth transition of a study or other task, if changes were to occur.

10.Negotiates alternative timelines based on resourcing / priority constraints.

11.Negotiate effectively with customers for reasonable timelines and scope

12.Contribute to user aspects of technical infrastructure or business process initiatives with a focus on statistical programming, data process and analysis reporting procedures.

13.Adapts to changing circumstances, policies, work assignments, and/or team members.

Qualifications:

1.BA, BS or advanced degree in mathematics, statistics, biological sciences, computer science or equivalent experience.

2.Experience of SAS/BASE, Procedures, SAS macros, advanced data step and basic SAS/GRAPH; Knowledge of R/BASE, statistical packages and interactive visualization tools.

3.Has good understanding data collection and database concepts including data flows in clinical trials, and Pharma industry data standards, such as CDISC/SDTM and ADaM data models.

4.Familiar with Python or any other programming language is a plus.

5.Good oral and written communication skills in Chinese and English.

Laekna Therapeutics is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.