We are seeking a talented, passionate, dedicated Sr. Chemist Formulator for one of our portfolio companies, a fast-growing, start-up clean beauty brand. In this role, you'll work closely with our founder to develop cutting-edge, clean beauty, bath, and body products. The ideal candidate is passionate about clean beauty and will work to find ways to make effective products with organic, sustainable ingredients.
In this role, you will:
We are looking for someone with a strong chemistry background and clean beauty experience. To apply, please detail your relevant experience and include links to products that you've worked on in the past.
Please note that this is a remote, work from home position. We are looking for someone who is willing to test formulations at home before we send them to our certified lab. Please only apply if you're comfortable with a remote, contract arrangement.
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To provide analytical support for solid dosage pharmaceutical forms, primarily by using dissolution testing, spectroscopy, HPLC, wet chemistry, and by maintaining log books and performing data management/report writing as necessary.
Essential Duties & Responsibilities
Non-Essential Duties & Responsibilities:
Knowledge & Other Qualifications:
Physical Requirements / Work Environment
Supernus Pharmaceuticals is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age or any other characteristic protected by law.
Come join a team of industry and science leaders to achieve a vision of empowering innovation through state-of-the-art artificial intelligence and machine learning. We are addressing exciting challenges for our customers, at the intersection of AI/ML and cutting-edge cloud infrastructure, with NLP being a core area of what we do and what we offer our customers.What You Would Do:
Provide machine learning methodology leadership.
Use AI/ML to solve NLP tasks and hard challenges, primarily for internal projects (i.e. for our product offering) and also for external projects (e.g. for customer projects).
Build state-of-the-art models for cognitive services using various open source and machine learning principles and techniques (including but not limited to Classical Machine Learning, like logistic regression, SVM, NN, Clustering, and Deep Learning, including CNN, RNN, Transformer, Seq2Seq, BERT).
Brainstorm and design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
Collaborate with fellow data scientists and SW engineers to build out various parts of our AI/ML infrastructure, services, and solutions, and effectively communicate the solutions to address external and internal shareholder's product challenges by presenting to highly technical audiences.
Present effectively, highly technical, and complex solutions and architectures to audiences with limited or no experience in machine learning solutions.
You have deep knowledge and work experience in mathematical and Statistical models like State Estimation techniques, statistical risk analysis using Monte Carlo Simulation, stochastic optimization, and time-series forecasting.
You know how to leverage state-of-the-art cloud technology – AWS, GCP, Azure, Heroku, or similar technology.
You are fluent in building models with Python and state-of-the-art machine learning libraries (e.g. PyTorch , Tensorflow, MxNet), and can leverage Hadoop, HBase, Spark, etc.
You have deep knowledge and experience in mathematical and statistical models, including state estimation techniques, statistical risk analysis, stochastic optimization, and/or time-series forecasting.
Capable of quickly becoming familiar with new approaches to or platforms for Machine Learning and applying these to real-world problems and platforms, in particular in the NLP space.
You have been exploring or working on some of the latest advancements in NLP using deep learning such as Deep Semantic Search, Deep Language Models (e.g. GPT-2 and GPT-3), conversational & cognitive communication technology such as chatbots and virtual assistants.
You are able to work with minimal supervision, keeping a strong alignment with your technical peers, non-technical partners, and the overall company objective.
You are able to positively influence and lead other data scientists (within your team, and with other scientists in the community) on science projects and initiatives.
You enjoy and thrive in a fast-working collaborative environment
Advanced degree (Ph.D. preferred) in computer science, Physics, Electrical Engineering, Statistics, or Mathematics, preferably with specialization in Artificial intelligence, Machine Learning, Speech Recognition, Natural Language Processing, Operations Research, or a related field.
10+ years of experience in designing and implementing machine learning models at scale, and a track record of deploying them in large-scale production environments.
Experience using ML and DL languages using Python and Java, to manipulate data and draw insights.
Practical experience and deep knowledge in algorithms for Anomaly detection, NLP, NLU, sentiment analysis, Text to Speech, Machine Translation, Recommender Systems, Reinforcement Learning, and other AI approaches.
Deep understanding of data structures, algorithms, and excellent problem-solving skills.
Experience or willingness to learn and work in Agile and iterative development and DevOps processes.
A deep experience and understanding in Statistics, Mathematical models, Multivariate and DL algorithms are a huge plus.
Experience with Cloud Native Frameworks tools and products
An Impressive portfolio on Kaggle Profile.
An impressive Google Scholar portfolio.
A strong track record in starting or contributing to open source ML platforms, tools, and projects.
Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies.
Exhibits neatness, accuracy, consistency and promptness in work habits. Produces high quality product in a timely manner meeting all contract requirements and customer satisfaction.
Adheres to federal regulations and company policies. Complies with cGMP regulations for making recombinant protein products for phase I/II clinical trials. Completes all required GMP and safety training.
Promotes work in a team setting and creates positive work climate. Interacts with other departments involved in GMP manufacturing for planning production, testing and product release in a timely manner resulting in successful completion of projects.
Anticipates problems especially those that may compromise the quality of the product. Analyzes situation and develops action plan for the successful completion of the project.
Oversees day-to-day operations of the Process Development and Manufacturing Purification labs. Maintains constant supply of materials, maintenance services etc. for the efficient function of the labs.
Demonstrates leadership. Communicates all matters of importance to the supervisor and to the members of the team for prompt action.
Applies technical knowledge to job. Helps to make improvements in company’s production capability.
Ph.D. in biochemistry/biotechnology or other discipline with 5 years of experience; or MS degree in biochemistry/chemistry with 10 years of experience; or BS degree in biochemistry/chemistry with 15 years of experience in Downstream Process Development and /or Protein Purification.
Experience with cGMP Manufacturing under cGMP/cGLP compliance is a plus.
Experience with standard analytical techniques including HPLC/SDS-PAGE, Bradford, BCA, and Endotoxin methods.
Advanced computer and presentation skills using MS Office (Word, Excel, Power Point).
Proven leadership skills.
Possess excellent interpersonal skills, both communications and written. Must be able to communicate effectively with all echelons of Management and staff.
Task & Team-oriented, analytical, organized, detail-oriented, self-motivated & ability to multi-task.
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Based on recent jobs postings on Zippia, the average salary in the U.S. for a Senior Chemist is $80,533 per year or $39 per hour. The highest paying Senior Chemist jobs have a salary over $115,000 per year while the lowest paying Senior Chemist jobs pay $56,000 per year
A senior scientist is usually in charge of overseeing experiments and evaluating junior scientists' performance, especially in laboratory settings. Moreover, it is also their responsibility to assess every progress report to ensure it's accuracy and validity. As a senior scientist in the field, it is essential to lead and encourage fellow scientists in their joint pursuit for scientific innovations, all while adhering to the laboratory's standards and policies.
A group leader is responsible for overseeing and distributing fair tasks to the members, ensuring clear instructions and procedures. Group leaders are mainly the ones leading the team towards their success. Duties of a group leader also include setting the team's expectations, providing necessary resources to make the task successful, and sharing regular updates on the team's performance. A group leader requires to have strong leadership and problem-solving skills to manage team concerns and resolve complaints quickly and efficiently.
Laboratory managers provide accurate laboratory diagnosis through evaluating specimen procedures and coordinating with pathologists to validate laboratory findings. They are responsible for maintaining laboratory tools and equipment, ensuring the proper sterilization of instruments before and after use, organizing equipment based on its function, and immediately repairing or replacing defective items. A laboratory manager also secures the confidentiality of laboratory systems, keeping records of results, and releasing information to the appropriate personnel. Laboratory managers must have a broad knowledge of the scientific industry, as well as excellent analytical and critical-thinking skills.
The primary job of laboratory supervisors is to oversee the daily operations of laboratories. They are responsible for facilitating the collection, analysis, and interpretation of laboratory results. Other responsibilities include supervising personnel, managing the operating budget of the laboratory, and hiring employees. Laboratory supervisors are responsible for overseeing quality assurance and enforcing practices to ensure quality control within the laboratory. Aside from these tasks, they also manage the acquisition of laboratory equipment and supplies and resolve any technical or administrative issues within the laboratory.
A quality control supervisor specializes in carrying out and implementing systems and procedures that ensure product quality within an organization. They are primarily responsible for devising priorities and standards, managing schedules to abide by the production timeline, monitoring activities, coordinating with production and quality control personnel, assessing employee performance, and thoroughly discussing new systems for all staff. There are also instances when a quality control supervisor must perform clerical tasks such as producing progress reports and assessments, responding to calls and correspondence, even disseminating notices.