Careers
Department of Biology
Department of Computing
Senior Molecular / Cellular Biomedical Scientist—Brooklyn, NY
Entry level to Senior level of scientist positions are available immediately in Accutar Biotechnology

Duties/Responsibilities:

Lead biological experimental team in designing and executing molecular or cellular experiments for treatment of disease based on different drug targets; explore and evaluate efficiency and safety of tested drug compounds in mammalian cell lines in animal models; perform in vivo and in vitro assays to study effects of compounds on characteristics and functions, including protein expression, cell signaling, or cell proliferation; establish SOP’s for experiments; perform statistical analysis on experimental results and prepare details for reports and presentations.

 

Requirements:

Master’s degree in Biomedical Science or Medical Science + 3 years of experience as a biomedical research scientist or research associate for treatment of diseases. Experience must include at least one year in protein expression and purification, testing with animal models, handling primary and established cell lines for cell based assay (including proliferation, apoptosis and migration), and protein assays (including western blot, ELISA, enzyme activities, and kinetics assays).

 

Send resume to Accutar Biotechnology Inc., 760 Parkside Avenue, Suite 213, Brooklyn, NY 11226. ATTN: HR.

Required:

  • Bachelor degree or above in Biology related field
  • Work authorization in United States

Preferred background in one of the following areas:

  • Biochemistry and Crystallography
  • Protein chemistry
  • Cell Biology, molecular biology
  • Mouse model, Cancer biology

Key features we are looking for:

  • Being enthusiastic with highest scientific integrity
  • A professional team player and a creative problem solver

What we provide:

  • Precious industry experience and competitive compensation in industry
  • Friendly and rewarding training and working environment
  • Interesting and rewarding drug discovery projects targeting different cancer types
  • Opportunity to publish in high profile journal

 

Please send CV and cover letter to biocareer@accutarbio.com

May-2016

Senior full-stack software engineer
Full-stack software engineer
Senior research engineer
Research engineer

About the role

We are looking for an experienced software engineer to lead our full-stack engineering team. The team is responsible for developing cloud infrastructure to empower our internal software and algorithms in drug discovery field. The team develops solutions ranging from web frontends for internal algorithms and software products, to database systems managing our experimental projects and data, and to complex distributed computation and job scheduling systems, etc.

 

Responsibilities:

Design and lead the development of our web infrastructure.

Deliver features end-to-end, from design decision to fully deployed live production.

Migrate existing systems to use modern cloud techniques and platforms.

Interface with other teams to integrate internal tools and algorithms into cloud infrastructures.

Analyze and improve efficiency, scalability and stability of production systems.

 

Qualifications:

Bachelor degree in Computer Science or related fields.

At least 2 years of professional software development experience.

Proficient in C, C++ and Python and web frameworks.

Expert in data structures and algorithms.

Hands-on experience on delivering complete web-scale production apps/APIs in the cloud.

Strong collaboration and communication skills.

 

Bonuses:

Experiences in DevOps tools and procedures.

Knowledge of operating system internals, network systems, and web performance optimizations.

Proficient in Unix shells and shell scripts.

Experiences in distributed computing systems.

 

Benefits:

Competitive compensation in industry.

Fast growing and friendly working environment.

Interesting and rewarding drug discovery teams and projects.

 

Please send CV and cover letter to career@accutarbio.com

About the role

We are looking for an experienced software engineer to lead our full-stack engineering team. The team is responsible for developing cloud infrastructure to empower our internal software and algorithms in drug discovery field. The team develops solutions ranging from web frontends for internal algorithms and software products, to database systems managing our experimental projects and data, and to complex distributed computation and job scheduling systems, etc.

 

Responsibilities:

Developing state of the art web applications and APIs.

Identity, test and fix usability and performance issues in distributed and live environments.

Integrate internal tools into cloud platforms and infrastructures.

 

Qualifications:

Bachelor degree in Computer Science or related fields.

Experiences in C, C++ and Python and web frameworks.

Proficient in data structures and algorithms.

Strong desire to dive in new fields and technologies.

 

Bonuses:

Experiences in DevOps tools and procedures.

Proficient in Unix shells and shell scripts.

Experiences in web and UI designing.

 

Benefits:

Competitive compensation in industry.

Fast growing and friendly working environment.

Interesting and rewarding drug discovery teams and projects.

 

Please send CV and cover letter to career@accutarbio.com

About the role

We are looking for an experienced research engineer who can handle the most challenging algorithm problems in the world to join our algorithm team.

Our algorithm team is responsible for developing state of the art algorithms to implement our drug discovery methodology. We work with our biology teams to develop novel models with a strong biochemistry background. We utilize algorithms in various areas including, but not limited to computational geometry, machine learning, optimization theory, combinatorial optimization, bioinformatics, etc.

We not only focus on performance of our algorithms, but also work closely with our product team. Our products are used by the world’s best pharmaceutical companies and research institutions. To accomplish this, we spend a lot of time to make our algorithm run efficiently on major hardware platforms. Besides tuning the algorithm, we also develop custom distributed platforms, machine learning toolkits, and 3D visualization tools to get the most of the hardware we use.

 

Responsibilities:

Design state of the art algorithms with a strong biochemistry background.

Understanding and design novel models to improve drug discovery pipeline.

Implement, analyze, and optimize the algorithms.

Design and develop tools and platforms to improve productivity of the team.

 

Qualifications:

Bachelor degree in Computer Science or related fields.

At least 2 years of research engineering experience.

Proficient in C and C++.

Experiences in programming contests, expert in data structures and algorithms.

Strong collaboration and communication skills.

 

Bonuses:

Experiences in high performance computing.

Publications in data mining and machine learning subjects.

Knowledge of operating system internals, network systems, and performance optimizations.

 

Benefits:

Competitive compensation in industry.

Fast growing and friendly working environment.

Interesting and rewarding drug discovery teams and projects.

 

Please send CV and cover letter to career@accutarbio.com

About the role

We are looking for a talented individual to join our algorithm team to solve some of the most challenging algorithm problems in the world.

Our algorithm team is responsible for developing state of the art algorithms to implement our drug discovery methodology. We work with our biology teams to develop novel models with a strong biochemistry background. We utilize algorithms in various areas including, but not limited to computational geometry, machine learning, optimization theory, combinatorial optimization, bioinformatics, etc.

We not only focus on performance of our algorithms, but also work closely with our product team. Our products are used by the world’s best pharmaceutical companies and research institutions. To accomplish this, we spend a lot of time to make our algorithm run efficiently on major hardware platforms. Besides tuning the algorithm, we also develop custom distributed platforms, machine learning toolkits, and 3D visualization tools to get the most of the hardware we use.

 

Responsibilities:

Design state of the art algorithms to solve challenging problems in drug discovery.

Implement, analyze, and optimize algorithms on a daily basis.

Interface with our product team to productize the algorithms.

 

Qualifications:

Bachelor degree in Computer Science or related fields.

Experiences in C and C++.

Proficient in data structures and algorithms.

Strong desire to solve challenging problems.

 

Bonuses:

Experiences in programming contests is a big plus.

Experiences in high performance computing.

Publications in data mining and machine learning subjects.

 

Benefits:

Competitive compensation in industry.

Fast growing and friendly working environment.

Interesting and rewarding drug discovery teams and projects.

 

Please send CV and cover letter to career@accutarbio.com