ZipRecruiter

Log In

1

Softmax Jobs (NOW HIRING)

Frontage Laboratories

Associate Scientist

Exton, PA · On-site

Familiarity with software for data analysis (e.g., SoftMax Pro, Watson LIMS, GraphPad Prism). * Understanding of regulatory expectations for bioanalytical method validation (FDA, EMA, ICH guidelines)

Eurofins

Bioassay Scientist

Columbia, MO · On-site

Analyze data with software including Molecular Devices Softmax Pro and effectively communicate results. * Train and mentor junior staff. * Utilize laboratory information management system (LIMS) with ...

Eurofins Scientific

Scientist

San Diego, CA · On-site

GraphPad Prism, SoftMax Pro, PLA, JMP, or similar software * GMP assay validation experience Competencies * Ability to work flexible schedules, including occasional non-standard hours, as needed to ...

Icon plc

Principal Scientist

Lenexa, KS · On-site

SoftMax Pro, Watson, or equivalent) * Neutralizing antibody or Flow Cytometry experience is beneficial. Method Development * Designs and executes experiments for method development under supervision ...

Eurofins Scientific

Bioassay Scientist

Columbia, MO

Analyze data with software including Molecular Devices Softmax Pro and effectively communicate results. * Train and mentor junior staff. * Utilize laboratory information management system (LIMS) with ...

previous pagenext page

Showing results 21-40

All JobsSoftmax Jobs

Softmax information

What are common challenges when implementing the softmax function in production systems?

Machine learning engineers often encounter numerical stability issues when implementing the softmax function, especially with large or very small input values, which can lead to overflow or underflow errors. To address this, it's standard practice to subtract the maximum input value from each input before exponentiating. Additionally, integrating the softmax function efficiently in large-scale systems may require optimization to reduce computational overhead and ensure consistent output across different hardware. Collaboration with data engineers and software developers is also important to ensure seamless deployment and monitoring of models utilizing softmax in production environments.

What is the difference between Softmax vs Logistic Regression?

AspectSoftmaxLogistic Regression
PurposeMulti-class classificationBinary classification
OutputProbability distribution over multiple classesProbability of one class
Activation FunctionSoftmax functionSigmoid function
Required CredentialsBasic machine learning knowledge, often used with neural networksSimilar credentials, often used in simpler models
Work EnvironmentDeep learning frameworks, neural network modelsStatistical models, traditional machine learning

Softmax is used for multi-class classification problems, providing probabilities across multiple classes, while Logistic Regression is typically used for binary classification, giving the probability of a single class. Both involve similar foundational concepts but differ in application and output complexity.

What are softmax functions in machine learning?

The softmax function is a mathematical function commonly used in machine learning, particularly in the output layer of classification models. It converts a vector of raw scores (logits) into probabilities, making each value range between 0 and 1 and ensuring that the total sum is 1. This allows the model to interpret the output as the probability of each class, making the softmax function essential for multi-class classification tasks. Softmax is widely used in neural networks, especially in natural language processing and image recognition problems.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming, often supported by a degree in computer science or a related field. Familiarity with popular ML frameworks (such as TensorFlow, PyTorch), version control systems, and relevant certifications are typically required. Analytical thinking, effective communication, and problem-solving skills help you translate complex data insights into practical solutions. These abilities are essential for developing accurate models, collaborating with stakeholders, and driving innovation in data-driven environments.
More about Softmax jobs
What cities are hiring for Softmax jobs? Cities with the most Softmax job openings:
What states have the most Softmax jobs? States with the most job openings for Softmax jobs include:
What job categories do people searching Softmax jobs look for? The top searched job categories for Softmax jobs are:
Softmax jobs near you
Infographic showing various Softmax job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 1% Temporary, and 21% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Lab Supervisor - Bioanalytical (Ligand Binding Assays)

B2S Life Sciences

Franklin, IN • On-site

Other

Re-posted 25 days ago

Job description

Lab Supervisor, Bioanalytical (Ligand Binding Assays)

The Lab Supervisor, Bioanalytical (Ligand Binding Assays), is responsible for overseeing the daily operations of a regulated bioanalytical laboratory supporting ligand binding assay (LBA) studies within a Contract Research Organization (CRO). This role ensures high-quality, compliant execution of immunoassays (e.g., ELISA, MSD) used in pharmacokinetic (PK), immunogenicity (ADA), Neutralizing Antibody (Nab) and biomarker analysis in support of preclinical and clinical programs.

The supervisor provides technical leadership, staff development, and operational oversight to ensure delivery of accurate, timely, and regulatory-compliant data in accordance with GLP, GCP, and applicable regulatory guidance.

Key Responsibilities

Laboratory Operations & Supervision

  • Supervise and coordinate daily bioanalytical lab activities supporting LBA workflows.
  • Ensure studies are executed on time and according to approved protocols, SOPs, and client expectations.
  • Monitor assay performance, troubleshoot issues, and ensure data integrity.
  • Allocate resources (staff, instruments, reagents) to meet study timelines and priorities.
  • Maintain a safe and efficient laboratory environment.
  • Provides support for laboratory operations by addressing and resolving issues that may arise.
  • Other duties as assigned.

Technical Leadership (LBA Focus)

  • Provide subject matter expertise in ligand binding assay platforms (ELISA, ECL/MSD, etc.).
  • Assists with method qualification, validation, and sample analysis.
  • Review assay data, identify trends, and guide troubleshooting/root cause investigations.
  • Ensure adherence to regulatory expectations for assay performance (accuracy, precision, sensitivity, selectivity).

Quality & Compliance

  • Ensure compliance with GLP, GCP, 21 CFR Part 11, and relevant regulatory guidance (FDA, EMA).
  • Serves as Test Site Management for reports, audits, and investigations, as applicable. Support audits (internal, client, regulatory inspections) and address findings with appropriate CAPAs.
  • Ensure proper documentation practices and data integrity standards.

Staff Management & Development

  • Supervise, coach, and mentor bioanalytical scientists and technicians.
  • Conduct performance reviews, training plans, and career development initiatives.
  • Ensure staff are trained and qualified on applicable methods, instrumentation, and SOPs.
  • Foster a collaborative, high-performance, and accountable team environment.

Continuous Improvement

  • Identify and implement process improvements to increase efficiency, quality, and throughput.
  • Support adoption of new technologies and automation within LBA workflows.
  • Contribute to SOP development, revision, and standardization.
Requirements

Education

  • Bachelor's degree in Biology, Biochemistry, Immunology, or related field (Master's preferred).

Experience

  • 5–8+ years of experience in bioanalytical laboratory environments, preferably within a CRO.
  • 2+ years of supervisory or team leadership experience.
  • Strong hands-on experience with ligand binding assays (ELISA, MSD, Gyrolab).

Technical Skills

  • Deep understanding of LBA method development, validation, and sample analysis.
  • Experience with PK, ADA (screening, confirmatory, titer), and biomarker assays.
  • Familiarity with laboratory data systems (e.g., LIMS, Watson, SoftMax Pro, Discovery Workbench).
  • Strong data analysis and troubleshooting skills.

Regulatory Knowledge

  • Working knowledge of GLP/GCP and regulatory guidance for bioanalytical methods (ICH, FDA, EMA).
  • Experience supporting audits and inspections.

Preferred Qualifications

  • Experience in large molecule bioanalysis, ligand binding assays (monoclonal antibodies, biologics).
  • Exposure to automation platforms or high-throughput assay systems.
  • Experience with electronic lab notebooks and data integrity best practices.
  • Management, supervisory experience preferred.

Key Competencies

  • Leadership & team development
  • Technical expertise in bioanalysis
  • Problem-solving & critical thinking
  • Strong communication & stakeholder management
  • Attention to detail & data integrity focus
  • Organizational and time management skills

Work Environment

  • Laboratory-based role within a regulated CRO environment.
  • May require occasional extended hours to meet study deadlines.
  • Interaction with cross-functional teams, including QA, project management, and clients.

Apply